{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/diffusion/papers/40","list_of":"/method/diffusion","method":"Diffusion","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":40,"pages_in_order":139,"rows_per_page":100,"rows":[3901,4000],"of":13848,"counts":{"archive_papers_tagged":13848,"with_a_code_link":5365,"where_syntology_ran_a_sample":2249,"not_listed_spam_title":0,"listed":13848,"listed_where_code_ran":2249,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1969,"every_run_a_failure_of_syntologys_instrument":280,"listed_with_a_run_with_no_instrument_failure":1969,"listed_every_run_a_failure_of_syntologys_instrument":280,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/diffusion","prev":"/method/diffusion/papers/39","next":"/method/diffusion/papers/41","papers":[{"paper":"/paper/gaussians-to-life-text-driven-animation-of-3d","slug":"gaussians-to-life-text-driven-animation-of-3d","title":"Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes","date":"2024-11-28","arxiv_id":"2411.19233","n_code_links":1,"syntology":null},{"paper":"/paper/i-dream-my-painting-connecting-mllms-and","slug":"i-dream-my-painting-connecting-mllms-and","title":"I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting","date":"2024-11-28","arxiv_id":"2411.19050","n_code_links":1,"syntology":null},{"paper":null,"slug":"improving-multi-subject-consistency-in-open","title":"Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention","date":"2024-11-28","arxiv_id":"2411.19261","n_code_links":0,"syntology":null},{"paper":null,"slug":"openhumanvid-a-large-scale-high-quality","title":"OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation","date":"2024-11-28","arxiv_id":"2412.00115","n_code_links":0,"syntology":null},{"paper":null,"slug":"orthus-autoregressive-interleaved-image-text","title":"Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads","date":"2024-11-28","arxiv_id":"2412.00127","n_code_links":0,"syntology":null},{"paper":null,"slug":"pcdreamer-point-cloud-completion-through","title":"PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors","date":"2024-11-28","arxiv_id":"2411.19036","n_code_links":0,"syntology":null},{"paper":"/paper/random-sampling-for-diffusion-based","slug":"random-sampling-for-diffusion-based","title":"Random Sampling for Diffusion-based Adversarial Purification","date":"2024-11-28","arxiv_id":"2411.18956","n_code_links":1,"syntology":null},{"paper":null,"slug":"scenetap-scene-coherent-typographic","title":"SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments","date":"2024-11-28","arxiv_id":"2412.00114","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-cross-diffusion-guidance-for-text-to","title":"Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects","date":"2024-11-28","arxiv_id":"2411.18936","n_code_links":0,"syntology":null},{"paper":null,"slug":"sowing-information-cultivating-contextual","title":"SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation","date":"2024-11-28","arxiv_id":"2411.19182","n_code_links":0,"syntology":null},{"paper":"/paper/timestep-embedding-tells-it-s-time-to-cache","slug":"timestep-embedding-tells-it-s-time-to-cache","title":"Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model","date":"2024-11-28","arxiv_id":"2411.19108","n_code_links":1,"syntology":null},{"paper":"/paper/towards-a-mechanistic-explanation-of","slug":"towards-a-mechanistic-explanation-of","title":"Towards a Mechanistic Explanation of Diffusion Model Generalization","date":"2024-11-28","arxiv_id":"2411.19339","n_code_links":0,"syntology":{"ran":8,"of":15,"n_ran_checked":3,"n_instrument":5,"unverified":7,"pointer_only":15,"phrase":"8 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 5 where Syntology's instrument failed) · 7 unverified","official":null}},{"paper":null,"slug":"trajectory-attention-for-fine-grained-video","title":"Trajectory Attention for Fine-grained Video Motion Control","date":"2024-11-28","arxiv_id":"2411.19324","n_code_links":0,"syntology":null},{"paper":null,"slug":"video-depth-without-video-models","title":"Video Depth without Video Models","date":"2024-11-28","arxiv_id":"2411.19189","n_code_links":0,"syntology":null},{"paper":null,"slug":"vipaint-image-inpainting-with-pre-trained","title":"VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference","date":"2024-11-28","arxiv_id":"2411.18929","n_code_links":0,"syntology":null},{"paper":null,"slug":"z-star-a-zero-shot-style-transfer-method-via","title":"Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution","date":"2024-11-28","arxiv_id":"2411.19231","n_code_links":0,"syntology":null},{"paper":null,"slug":"ac3d-analyzing-and-improving-3d-camera","title":"AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers","date":"2024-11-27","arxiv_id":"2411.18673","n_code_links":0,"syntology":null},{"paper":null,"slug":"cat4d-create-anything-in-4d-with-multi-view","title":"CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models","date":"2024-11-27","arxiv_id":"2411.18613","n_code_links":0,"syntology":null},{"paper":null,"slug":"dependency-aware-cav-task-scheduling-via","title":"Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning","date":"2024-11-27","arxiv_id":"2411.18230","n_code_links":0,"syntology":null},{"paper":null,"slug":"dexdiffuser-interaction-aware-diffusion","title":"DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation","date":"2024-11-27","arxiv_id":"2411.18562","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffusion-autoencoders-for-few-shot-image","title":"Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space","date":"2024-11-27","arxiv_id":"2411.17784","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffusion-self-distillation-for-zero-shot","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","date":"2024-11-27","arxiv_id":"2411.18616","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-compositional-text-to-image","title":"Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds","date":"2024-11-27","arxiv_id":"2411.18810","n_code_links":0,"syntology":null},{"paper":"/paper/enhancing-mmdit-based-text-to-image-models","slug":"enhancing-mmdit-based-text-to-image-models","title":"Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation","date":"2024-11-27","arxiv_id":"2411.18301","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-weed-detection-performance-by-means","title":"Enhancing weed detection performance by means of GenAI-based image augmentation","date":"2024-11-27","arxiv_id":"2411.18513","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluating-and-improving-the-effectiveness-of","title":"Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis","date":"2024-11-27","arxiv_id":"2411.18602","n_code_links":0,"syntology":null},{"paper":null,"slug":"faithdiff-unleashing-diffusion-priors-for","title":"FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution","date":"2024-11-27","arxiv_id":"2411.18824","n_code_links":0,"syntology":null},{"paper":null,"slug":"fam-diffusion-frequency-and-attention","title":"FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion","date":"2024-11-27","arxiv_id":"2411.18552","n_code_links":0,"syntology":null},{"paper":"/paper/g3flow-generative-3d-semantic-flow-for-pose","slug":"g3flow-generative-3d-semantic-flow-for-pose","title":"G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation","date":"2024-11-27","arxiv_id":"2411.18369","n_code_links":1,"syntology":null},{"paper":null,"slug":"geneman-generalizable-single-image-3d-human","title":"GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data","date":"2024-11-27","arxiv_id":"2411.18624","n_code_links":0,"syntology":null},{"paper":null,"slug":"generative-semantic-communication-for-joint","title":"Generative Semantic Communication for Joint Image Transmission and Segmentation","date":"2024-11-27","arxiv_id":"2411.18005","n_code_links":0,"syntology":null},{"paper":null,"slug":"hifivfs-high-fidelity-video-face-swapping","title":"HiFiVFS: High Fidelity Video Face Swapping","date":"2024-11-27","arxiv_id":"2411.18293","n_code_links":0,"syntology":null},{"paper":"/paper/holisdip-image-super-resolution-via-holistic","slug":"holisdip-image-super-resolution-via-holistic","title":"HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior","date":"2024-11-27","arxiv_id":"2411.18662","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":5,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["liyuantsao/HoliSDiP"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"improved-implicit-diffusion-model-with","title":"Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery","date":"2024-11-27","arxiv_id":"2411.17973","n_code_links":0,"syntology":null},{"paper":null,"slug":"individual-content-and-motion-dynamics","title":"Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models","date":"2024-11-27","arxiv_id":"2411.18375","n_code_links":0,"syntology":null},{"paper":null,"slug":"infinidreamer-arbitrarily-long-human-motion","title":"InfiniDreamer: Arbitrarily Long Human Motion Generation via Segment Score Distillation","date":"2024-11-27","arxiv_id":"2411.18303","n_code_links":0,"syntology":null},{"paper":"/paper/learning-the-evolution-of-physical-structure","slug":"learning-the-evolution-of-physical-structure","title":"Understanding Galaxy Morphology Evolution Through Cosmic Time via Redshift Conditioned Diffusion Models","date":"2024-11-27","arxiv_id":"2411.18440","n_code_links":1,"syntology":null},{"paper":null,"slug":"lifting-motion-to-the-3d-world-via-2d","title":"Lifting Motion to the 3D World via 2D Diffusion","date":"2024-11-27","arxiv_id":"2411.18808","n_code_links":0,"syntology":null},{"paper":null,"slug":"limit-order-book-event-stream-prediction-with","title":"Limit Order Book Event Stream Prediction with Diffusion Model","date":"2024-11-27","arxiv_id":"2412.09631","n_code_links":0,"syntology":null},{"paper":"/paper/matchdiffusion-training-free-generation-of","slug":"matchdiffusion-training-free-generation-of","title":"MatchDiffusion: Training-free Generation of Match-cuts","date":"2024-11-27","arxiv_id":"2411.18677","n_code_links":1,"syntology":null},{"paper":null,"slug":"modedreamer-mode-guiding-score-distillation","title":"ModeDreamer: Mode Guiding Score Distillation for Text-to-3D Generation using Reference Image Prompts","date":"2024-11-27","arxiv_id":"2411.18135","n_code_links":0,"syntology":null},{"paper":null,"slug":"multistage-spatial-model-for-informing","title":"Multistage spatial model for informing release of Wolbachia-infected mosquitoes as disease control","date":"2024-11-27","arxiv_id":"2411.18792","n_code_links":0,"syntology":null},{"paper":null,"slug":"ood-hoi-text-driven-3d-whole-body-human","title":"OOD-HOI: Text-Driven 3D Whole-Body Human-Object Interactions Generation Beyond Training Domains","date":"2024-11-27","arxiv_id":"2411.18660","n_code_links":0,"syntology":null},{"paper":null,"slug":"personacraft-personalized-full-body-image","title":"PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion","date":"2024-11-27","arxiv_id":"2411.18068","n_code_links":0,"syntology":null},{"paper":null,"slug":"prediction-with-action-visual-policy-learning","title":"Prediction with Action: Visual Policy Learning via Joint Denoising Process","date":"2024-11-27","arxiv_id":"2411.18179","n_code_links":0,"syntology":null},{"paper":"/paper/random-walks-with-tweedie-a-unified-framework","slug":"random-walks-with-tweedie-a-unified-framework","title":"Random Walks with Tweedie: A Unified Framework for Diffusion Models","date":"2024-11-27","arxiv_id":"2411.18702","n_code_links":1,"syntology":null},{"paper":null,"slug":"roictrl-boosting-instance-control-for-visual","title":"ROICtrl: Boosting Instance Control for Visual Generation","date":"2024-11-27","arxiv_id":"2411.17949","n_code_links":0,"syntology":null},{"paper":null,"slug":"semiclassical-cev-option-pricing-model-an","title":"Semiclassical CEV Option Pricing Model: an Analytical Approach","date":"2024-11-27","arxiv_id":"2411.18154","n_code_links":0,"syntology":null},{"paper":null,"slug":"spatiotemporal-skip-guidance-for-enhanced","title":"Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling","date":"2024-11-27","arxiv_id":"2411.18664","n_code_links":0,"syntology":null},{"paper":"/paper/spotlight-shadow-guided-object-relighting-via","slug":"spotlight-shadow-guided-object-relighting-via","title":"SpotLight: Shadow-Guided Object Relighting via Diffusion","date":"2024-11-27","arxiv_id":"2411.18665","n_code_links":1,"syntology":null},{"paper":"/paper/the-rise-and-fall-of-ideas-popularity","slug":"the-rise-and-fall-of-ideas-popularity","title":"The Rise and Fall of Ideas' Popularity","date":"2024-11-27","arxiv_id":"2411.18541","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-chunk-wise-generation-for-long-videos","title":"Towards Chunk-Wise Generation for Long Videos","date":"2024-11-27","arxiv_id":"2411.18668","n_code_links":0,"syntology":null},{"paper":"/paper/tryoffdiff-virtual-try-off-via-high-fidelity","slug":"tryoffdiff-virtual-try-off-via-high-fidelity","title":"TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models","date":"2024-11-27","arxiv_id":"2411.18350","n_code_links":1,"syntology":null},{"paper":"/paper/tsd-sr-one-step-diffusion-with-target-score","slug":"tsd-sr-one-step-diffusion-with-target-score","title":"TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution","date":"2024-11-27","arxiv_id":"2411.18263","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Microtreei/TSD-SR"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"type-r-automatically-retouching-typos-for","title":"Type-R: Automatically Retouching Typos for Text-to-Image Generation","date":"2024-11-27","arxiv_id":"2411.18159","n_code_links":0,"syntology":null},{"paper":null,"slug":"unpacking-the-individual-components-of","title":"Unpacking the Individual Components of Diffusion Policy","date":"2024-11-27","arxiv_id":"2412.00084","n_code_links":0,"syntology":null},{"paper":"/paper/accelerating-vision-diffusion-transformers","slug":"accelerating-vision-diffusion-transformers","title":"Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints","date":"2024-11-26","arxiv_id":"2411.17616","n_code_links":1,"syntology":{"ran":6,"of":10,"n_ran_checked":3,"n_instrument":3,"unverified":4,"pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["opensparsellms/skip-dit"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"addressing-vulnerabilities-in-ai-image","title":"Addressing Vulnerabilities in AI-Image Detection: Challenges and Proposed Solutions","date":"2024-11-26","arxiv_id":"2412.00073","n_code_links":0,"syntology":null},{"paper":"/paper/apt-architectural-planning-and-text-to","slug":"apt-architectural-planning-and-text-to","title":"APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents","date":"2024-11-26","arxiv_id":"2411.17255","n_code_links":1,"syntology":null},{"paper":"/paper/boost-3d-reconstruction-using-diffusion-based","slug":"boost-3d-reconstruction-using-diffusion-based","title":"Boost 3D Reconstruction using Diffusion-based Monocular Camera Calibration","date":"2024-11-26","arxiv_id":"2411.17240","n_code_links":1,"syntology":null},{"paper":"/paper/clover-constrained-learning-with-orthonormal","slug":"clover-constrained-learning-with-orthonormal","title":"CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning","date":"2024-11-26","arxiv_id":"2411.17426","n_code_links":1,"syntology":null},{"paper":null,"slug":"contrastive-cfg-improving-cfg-in-diffusion","title":"Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts","date":"2024-11-26","arxiv_id":"2411.17077","n_code_links":0,"syntology":null},{"paper":"/paper/cwdm-conditional-wavelet-diffusion-models-for","slug":"cwdm-conditional-wavelet-diffusion-models-for","title":"cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis","date":"2024-11-26","arxiv_id":"2411.17203","n_code_links":1,"syntology":null},{"paper":null,"slug":"diffslt-enhancing-diversity-in-sign-language","title":"DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model","date":"2024-11-26","arxiv_id":"2411.17248","n_code_links":0,"syntology":null},{"paper":null,"slug":"dreamcache-finetuning-free-lightweight","title":"DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching","date":"2024-11-26","arxiv_id":"2411.17786","n_code_links":0,"syntology":null},{"paper":"/paper/dreammix-decoupling-object-attributes-for","slug":"dreammix-decoupling-object-attributes-for","title":"DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting","date":"2024-11-26","arxiv_id":"2411.17223","n_code_links":1,"syntology":null},{"paper":"/paper/drive-diffusion-based-rigging-empowers","slug":"drive-diffusion-based-rigging-empowers","title":"DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters","date":"2024-11-26","arxiv_id":"2411.17423","n_code_links":1,"syntology":null},{"paper":null,"slug":"free-2-guide-gradient-free-path-integral","title":"Free$^2$Guide: Gradient-Free Path Integral Control for Enhancing Text-to-Video Generation with Large Vision-Language Models","date":"2024-11-26","arxiv_id":"2411.17041","n_code_links":0,"syntology":null},{"paper":null,"slug":"from-graph-diffusion-to-graph-classification","title":"From Graph Diffusion to Graph Classification","date":"2024-11-26","arxiv_id":"2411.17236","n_code_links":0,"syntology":null},{"paper":null,"slug":"from-memorization-to-generalization-a","title":"A solvable generative model with a linear, one-step denoiser","date":"2024-11-26","arxiv_id":"2411.17807","n_code_links":0,"syntology":null},{"paper":null,"slug":"gendeg-diffusion-based-degradation-synthesis","title":"GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration","date":"2024-11-26","arxiv_id":"2411.17687","n_code_links":0,"syntology":null},{"paper":"/paper/identity-preserving-text-to-video-generation","slug":"identity-preserving-text-to-video-generation","title":"Identity-Preserving Text-to-Video Generation by Frequency Decomposition","date":"2024-11-26","arxiv_id":"2411.17440","n_code_links":1,"syntology":null},{"paper":null,"slug":"image-generation-with-multimodule-semantic","title":"Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications","date":"2024-11-26","arxiv_id":"2411.17428","n_code_links":0,"syntology":null},{"paper":null,"slug":"improve-improving-medical-plausibility","title":"IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework","date":"2024-11-26","arxiv_id":"2411.17535","n_code_links":0,"syntology":null},{"paper":"/paper/marvel-40m-multi-level-visual-elaboration-for","slug":"marvel-40m-multi-level-visual-elaboration-for","title":"MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation","date":"2024-11-26","arxiv_id":"2411.17945","n_code_links":2,"syntology":{"ran":2,"of":6,"n_ran_checked":2,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["SadilKhan/MARVEL-FX3D","huggingface.co/datasets/sankalpsinha77/MARVEL-40M"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"mixed-state-quantum-denoising-diffusion","title":"Mixed-State Quantum Denoising Diffusion Probabilistic Model","date":"2024-11-26","arxiv_id":"2411.17608","n_code_links":0,"syntology":null},{"paper":null,"slug":"mvboost-boost-3d-reconstruction-with-multi","title":"MVBoost: Boost 3D Reconstruction with Multi-View Refinement","date":"2024-11-26","arxiv_id":"2411.17772","n_code_links":0,"syntology":null},{"paper":"/paper/omegance-a-single-parameter-for-various","slug":"omegance-a-single-parameter-for-various","title":"Omegance: A Single Parameter for Various Granularities in Diffusion-Based Synthesis","date":"2024-11-26","arxiv_id":"2411.17769","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-statistical-rates-of-conditional-diffusion","title":"On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality","date":"2024-11-26","arxiv_id":"2411.17522","n_code_links":0,"syntology":null},{"paper":"/paper/osdface-one-step-diffusion-model-for-face","slug":"osdface-one-step-diffusion-model-for-face","title":"OSDFace: One-Step Diffusion Model for Face Restoration","date":"2024-11-26","arxiv_id":"2411.17163","n_code_links":1,"syntology":{"ran":16,"of":18,"n_ran_checked":12,"n_instrument":4,"unverified":2,"pointer_only":18,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 4 where Syntology's instrument failed) · 2 unverified","official":{"repos":["jkwang28/osdface"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/passionsr-post-training-quantization-with","slug":"passionsr-post-training-quantization-with","title":"PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution","date":"2024-11-26","arxiv_id":"2411.17106","n_code_links":1,"syntology":null},{"paper":null,"slug":"physmotion-physics-grounded-dynamics-from-a","title":"PhysMotion: Physics-Grounded Dynamics From a Single Image","date":"2024-11-26","arxiv_id":"2411.17189","n_code_links":0,"syntology":null},{"paper":null,"slug":"reward-incremental-learning-in-text-to-image","title":"Reward Incremental Learning in Text-to-Image Generation","date":"2024-11-26","arxiv_id":"2411.17310","n_code_links":0,"syntology":null},{"paper":null,"slug":"scribblelight-single-image-indoor-relighting","title":"ScribbleLight: Single Image Indoor Relighting with Scribbles","date":"2024-11-26","arxiv_id":"2411.17696","n_code_links":0,"syntology":null},{"paper":null,"slug":"signs-as-tokens-an-autoregressive","title":"Signs as Tokens: An Autoregressive Multilingual Sign Language Generator","date":"2024-11-26","arxiv_id":"2411.17799","n_code_links":0,"syntology":null},{"paper":"/paper/stableanimator-high-quality-identity","slug":"stableanimator-high-quality-identity","title":"StableAnimator: High-Quality Identity-Preserving Human Image Animation","date":"2024-11-26","arxiv_id":"2411.17697","n_code_links":1,"syntology":{"ran":10,"of":11,"n_ran_checked":9,"n_instrument":1,"unverified":1,"pointer_only":4,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Francis-Rings/StableAnimator"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"symmetry-strikes-back-from-single-image","title":"Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation","date":"2024-11-26","arxiv_id":"2411.17763","n_code_links":0,"syntology":null},{"paper":"/paper/ted-viton-transformer-empowered-diffusion","slug":"ted-viton-transformer-empowered-diffusion","title":"TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On","date":"2024-11-26","arxiv_id":"2411.17017","n_code_links":1,"syntology":null},{"paper":null,"slug":"videodirector-precise-video-editing-via-text","title":"VideoDirector: Precise Video Editing via Text-to-Video Models","date":"2024-11-26","arxiv_id":"2411.17592","n_code_links":0,"syntology":null},{"paper":"/paper/wf-vae-enhancing-video-vae-by-wavelet-driven","slug":"wf-vae-enhancing-video-vae-by-wavelet-driven","title":"WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model","date":"2024-11-26","arxiv_id":"2411.17459","n_code_links":2,"syntology":null},{"paper":null,"slug":"adobi-adaptive-diffusion-bridge-for-blind","title":"ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction","date":"2024-11-25","arxiv_id":"2411.16535","n_code_links":0,"syntology":null},{"paper":"/paper/an-end-to-end-robust-point-cloud-semantic","slug":"an-end-to-end-robust-point-cloud-semantic","title":"An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models","date":"2024-11-25","arxiv_id":"2411.16308","n_code_links":1,"syntology":null},{"paper":null,"slug":"boosting-3d-object-generation-through-pbr","title":"Boosting 3D Object Generation through PBR Materials","date":"2024-11-25","arxiv_id":"2411.16080","n_code_links":0,"syntology":null},{"paper":"/paper/ca2-vdm-efficient-autoregressive-video","slug":"ca2-vdm-efficient-autoregressive-video","title":"Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing","date":"2024-11-25","arxiv_id":"2411.16375","n_code_links":2,"syntology":{"ran":15,"of":21,"n_ran_checked":13,"n_instrument":2,"unverified":6,"pointer_only":5,"phrase":"15 ran (of which 5 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified","official":{"repos":["dawn-lx/causalcache-vdm"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["found_in_text","listed"]}}},{"paper":null,"slug":"characterized-diffusion-networks-for-enhanced","title":"Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction","date":"2024-11-25","arxiv_id":"2411.16457","n_code_links":0,"syntology":null},{"paper":null,"slug":"chat2svg-vector-graphics-generation-with","title":"Chat2SVG: Vector Graphics Generation with Large Language Models and Image Diffusion Models","date":"2024-11-25","arxiv_id":"2411.16602","n_code_links":0,"syntology":null},{"paper":"/paper/cia-controllable-image-augmentation-framework","slug":"cia-controllable-image-augmentation-framework","title":"CIA: Controllable Image Augmentation Framework Based on Stable Diffusion","date":"2024-11-25","arxiv_id":"2411.16128","n_code_links":1,"syntology":null},{"paper":null,"slug":"cocono-attention-contrast-and-complete-for","title":"CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis","date":"2024-11-25","arxiv_id":"2411.16783","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparison-of-generative-learning-methods-for","title":"Comparison of Generative Learning Methods for Turbulence Modeling","date":"2024-11-25","arxiv_id":"2411.16417","n_code_links":0,"syntology":null},{"paper":null,"slug":"controllable-human-image-generation-with","title":"Controllable Human Image Generation with Personalized Multi-Garments","date":"2024-11-25","arxiv_id":"2411.16801","n_code_links":0,"syntology":null}],"record_sha256":"d10e69066a2b9e233f2eefaf152399e0bf34cd4c95b80613db3bcbfe421893b8","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}