{"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":"/task/image-generation/papers/60","list_of":"/task/image-generation","task":"Image Generation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":60,"pages_in_order":67,"rows_per_page":100,"rows":[5901,6000],"of":6689,"counts":{"archive_papers_tagged":6689,"with_a_code_link":3102,"where_syntology_ran_a_sample":1223,"not_listed_spam_title":0,"listed":6689,"listed_where_code_ran":1223,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1063,"every_run_a_failure_of_syntologys_instrument":160,"listed_with_a_run_with_no_instrument_failure":1063,"listed_every_run_a_failure_of_syntologys_instrument":160,"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":"/task/image-generation","prev":"/task/image-generation/papers/59","next":"/task/image-generation/papers/61","papers":[{"url":null,"slug":"neurint-learning-interpolation-by-neural-odes","title":"NeurInt-Learning Interpolation by Neural ODEs","date":"2021-09-27","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ldc-vae-a-latent-distribution-consistency","title":"LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders","date":"2021-09-22","arxiv_id":"2109.10640","repositories_listed":0,"syntology":null},{"url":null,"slug":"comicgan-text-to-comic-generative-adversarial","title":"ComicGAN: Text-to-Comic Generative Adversarial Network","date":"2021-09-19","arxiv_id":"2109.09120","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-multi-channel-image-synthesis-for","title":"Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging","date":"2021-09-18","arxiv_id":"2109.09004","repositories_listed":0,"syntology":null},{"url":"/paper/sketchhairsalon-deep-sketch-based-hair-image","slug":"sketchhairsalon-deep-sketch-based-hair-image","title":"SketchHairSalon: Deep Sketch-based Hair Image Synthesis","date":"2021-09-16","arxiv_id":"2109.07874","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-synthesis-via-semantic-composition","title":"Image Synthesis via Semantic Composition","date":"2021-09-15","arxiv_id":"2109.07053","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-mocogan-for-zero-shot-video","title":"Conditional MoCoGAN for Zero-Shot Video Generation","date":"2021-09-13","arxiv_id":"2109.05864","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-sins-of-image-synthesis-loss-for-self","title":"On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation","date":"2021-09-13","arxiv_id":"2109.06163","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-with-style-detail-preserving-pose-guided","title":"Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN","date":"2021-09-13","arxiv_id":"2109.06166","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-state-of-the-art-when-using-gpus-in","title":"The State of the Art when using GPUs in Devising Image Generation Methods Using Deep Learning","date":"2021-09-13","arxiv_id":"2109.05783","repositories_listed":0,"syntology":null},{"url":null,"slug":"msgdd-cgan-multi-scale-gradients-dual","title":"MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network","date":"2021-09-12","arxiv_id":"2109.05614","repositories_listed":0,"syntology":null},{"url":null,"slug":"per-garment-capture-and-synthesis-for-real","title":"Per Garment Capture and Synthesis for Real-time Virtual Try-on","date":"2021-09-10","arxiv_id":"2109.04654","repositories_listed":0,"syntology":null},{"url":null,"slug":"awgan-empowering-high-dimensional","title":"Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks","date":"2021-09-08","arxiv_id":"2109.03378","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-approach-for-hyperspectral","title":"Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction","date":"2021-09-03","arxiv_id":"2109.01403","repositories_listed":0,"syntology":null},{"url":null,"slug":"fa-gan-feature-aware-gan-for-text-to-image","title":"FA-GAN: Feature-Aware GAN for Text to Image Synthesis","date":"2021-09-02","arxiv_id":"2109.00907","repositories_listed":0,"syntology":null},{"url":null,"slug":"stackgan-facial-image-generation","title":"StackGAN: Facial Image Generation Optimizations","date":"2021-08-30","arxiv_id":"2108.13290","repositories_listed":0,"syntology":null},{"url":null,"slug":"heredity-aware-child-face-image-generation","title":"Heredity-aware Child Face Image Generation with Latent Space Disentanglement","date":"2021-08-25","arxiv_id":"2108.11080","repositories_listed":0,"syntology":null},{"url":"/paper/multi-attributed-and-structured-text-to-face","slug":"multi-attributed-and-structured-text-to-face","title":"Multi-Attributed and Structured Text-to-Face Synthesis","date":"2021-08-25","arxiv_id":"2108.11100","repositories_listed":0,"syntology":null},{"url":null,"slug":"realistic-image-synthesis-with-configurable","title":"Realistic Image Synthesis with Configurable 3D Scene Layouts","date":"2021-08-23","arxiv_id":"2108.10031","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-underwater-image-enhancement-using-an","title":"Single Underwater Image Enhancement Using an Analysis-Synthesis Network","date":"2021-08-20","arxiv_id":"2108.09023","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-photorealistic-colorization-by","title":"Towards Photorealistic Colorization by Imagination","date":"2021-08-20","arxiv_id":"2108.09195","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-understanding-the-generative","title":"Towards Understanding the Generative Capability of Adversarially Robust Classifiers","date":"2021-08-20","arxiv_id":"2108.09093","repositories_listed":0,"syntology":null},{"url":null,"slug":"zoom-enhance-measuring-surveillance-gan-up","title":"Zoom, Enhance! Measuring Surveillance GAN Up-sampling","date":"2021-08-20","arxiv_id":"2108.09285","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-algorithm-unrolling-for-biomedical","title":"Deep Algorithm Unrolling for Biomedical Imaging","date":"2021-08-15","arxiv_id":"2108.06637","repositories_listed":0,"syntology":null},{"url":null,"slug":"simcvd-simple-contrastive-voxel-wise","title":"SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation","date":"2021-08-13","arxiv_id":"2108.06227","repositories_listed":0,"syntology":null},{"url":null,"slug":"unconditional-scene-graph-generation","title":"Unconditional Scene Graph Generation","date":"2021-08-12","arxiv_id":"2108.05884","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpreting-generative-adversarial-networks","title":"Interpreting Generative Adversarial Networks for Interactive Image Generation","date":"2021-08-10","arxiv_id":"2108.04896","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-attention-with-flow-for-person","title":"Combining Attention with Flow for Person Image Synthesis","date":"2021-08-04","arxiv_id":"2108.01823","repositories_listed":0,"syntology":null},{"url":null,"slug":"categorical-ehr-imputation-with-generative","title":"Categorical EHR Imputation with Generative Adversarial Nets","date":"2021-08-03","arxiv_id":"2108.01701","repositories_listed":0,"syntology":null},{"url":null,"slug":"cycle-consistent-inverse-gan-for-text-to","title":"Cycle-Consistent Inverse GAN for Text-to-Image Synthesis","date":"2021-08-03","arxiv_id":"2108.01361","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-face-verification-models-from","title":"Training face verification models from generated face identity data","date":"2021-08-02","arxiv_id":"2108.00800","repositories_listed":0,"syntology":null},{"url":null,"slug":"crd-cgan-category-consistent-and-relativistic","title":"CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation","date":"2021-07-28","arxiv_id":"2107.13516","repositories_listed":0,"syntology":null},{"url":null,"slug":"realistic-ultrasound-image-synthesis-for","title":"Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease","date":"2021-07-27","arxiv_id":"2107.12775","repositories_listed":0,"syntology":null},{"url":null,"slug":"rewritenet-realistic-scene-text-image","title":"RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles","date":"2021-07-23","arxiv_id":"2107.11041","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-of-generative-adversarial-networks","title":"Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging","date":"2021-07-20","arxiv_id":"2107.09543","repositories_listed":0,"syntology":null},{"url":null,"slug":"autonomy-2-0-why-is-self-driving-always-5","title":"Autonomy 2.0: Why is self-driving always 5 years away?","date":"2021-07-16","arxiv_id":"2107.08142","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynadog-t-a-parametric-animal-model-for","title":"DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation","date":"2021-07-15","arxiv_id":"2107.07330","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-image-synthesis-from-intuitive-user","title":"Deep Image Synthesis from Intuitive User Input: A Review and Perspectives","date":"2021-07-09","arxiv_id":"2107.04240","repositories_listed":0,"syntology":null},{"url":null,"slug":"fbc-gan-diverse-and-flexible-image-synthesis","title":"FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition","date":"2021-07-07","arxiv_id":"2107.03166","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-distribution-of-penultimate","title":"On The Distribution of Penultimate Activations of Classification Networks","date":"2021-07-05","arxiv_id":"2107.01900","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-better-adversarial-synthesis-of-human","title":"Towards Better Adversarial Synthesis of Human Images from Text","date":"2021-07-05","arxiv_id":"2107.01869","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-adversarial-image-synthesis","title":"A Survey on Adversarial Image Synthesis","date":"2021-06-30","arxiv_id":"2106.16056","repositories_listed":0,"syntology":null},{"url":null,"slug":"are-conditional-gans-explicitly-conditional","title":"Are conditional GANs explicitly conditional?","date":"2021-06-28","arxiv_id":"2106.15011","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-conceptual-blending-with-large-scale","title":"Visual Conceptual Blending with Large-scale Language and Vision Models","date":"2021-06-27","arxiv_id":"2106.14127","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussigan-controllable-image-synthesis-with","title":"GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes","date":"2021-06-24","arxiv_id":"2106.13215","repositories_listed":0,"syntology":null},{"url":null,"slug":"handling-data-heterogeneity-with-generative","title":"Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging","date":"2021-06-24","arxiv_id":"2106.13208","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-is-the-disease-semi-supervised-pseudo","title":"Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image","date":"2021-06-24","arxiv_id":"2106.15345","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-self-training-for-cross-domain","title":"Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis","date":"2021-06-23","arxiv_id":"2106.12499","repositories_listed":0,"syntology":null},{"url":null,"slug":"attack-to-fool-and-explain-deep-networks","title":"Attack to Fool and Explain Deep Networks","date":"2021-06-20","arxiv_id":"2106.10606","repositories_listed":0,"syntology":null},{"url":null,"slug":"brain-image-synthesis-with-unsupervised-1","title":"Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mask-embedded-discriminator-with-region-based","title":"Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mol2image-improved-conditional-flow-models","title":"Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"patchwise-generative-convnet-training-energy","title":"Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"posterior-promoted-gan-with-distribution","title":"Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"protecting-intellectual-property-of-1","title":"Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-3d-mesh-reconstruction-from","title":"Self-Supervised 3D Mesh Reconstruction From Single Images","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-hdr-hallucination-for-inverse-tone","title":"Deep HDR Hallucination for Inverse Tone Mapping","date":"2021-06-17","arxiv_id":"2106.09486","repositories_listed":0,"syntology":null},{"url":null,"slug":"cascading-modular-network-cam-net-for","title":"Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis","date":"2021-06-16","arxiv_id":"2106.09015","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamically-grown-generative-adversarial","title":"Dynamically Grown Generative Adversarial Networks","date":"2021-06-16","arxiv_id":"2106.08505","repositories_listed":0,"syntology":null},{"url":null,"slug":"ct-image-synthesis-using-weakly-supervised","title":"CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis","date":"2021-06-15","arxiv_id":"2106.10230","repositories_listed":0,"syntology":null},{"url":null,"slug":"crash-raw-audio-score-based-generative","title":"CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis","date":"2021-06-14","arxiv_id":"2106.07431","repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-guided-transformable-bottleneck-networks","title":"Flow Guided Transformable Bottleneck Networks for Motion Retargeting","date":"2021-06-14","arxiv_id":"2106.07771","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-photo-realistic-texture","title":"Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction","date":"2021-06-14","arxiv_id":"2106.08148","repositories_listed":0,"syntology":null},{"url":null,"slug":"ultrasound-classification-of-breast-masses","title":"Ultrasound Classification of Breast Masses Using a Comprehensive Nakagami Imaging and Machine Learning Framework","date":"2021-06-13","arxiv_id":"2106.07048","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-adversarial-networks-in-finance-an","title":"Generative Adversarial Networks in finance: an overview","date":"2021-06-11","arxiv_id":"2106.06364","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-accurate-and-realistic-outfits","title":"Toward Accurate and Realistic Outfits Visualization with Attention to Details","date":"2021-06-11","arxiv_id":"2106.06593","repositories_listed":0,"syntology":null},{"url":null,"slug":"afan-augmented-feature-alignment-network-for","title":"AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection","date":"2021-06-10","arxiv_id":"2106.05499","repositories_listed":0,"syntology":null},{"url":null,"slug":"validation-of-simulation-based-testing","title":"Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis","date":"2021-06-10","arxiv_id":"2106.05549","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-stage-gan-for-multi-organ-chest-x-ray","title":"A multi-stage GAN for multi-organ chest X-ray image generation and segmentation","date":"2021-06-09","arxiv_id":"2106.05132","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-training-for-future-video","title":"Efficient training for future video generation based on hierarchical disentangled representation of latent variables","date":"2021-06-07","arxiv_id":"2106.03502","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-flows-with-invertible-attentions","title":"Generative Flows with Invertible Attentions","date":"2021-06-07","arxiv_id":"2106.03959","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-resolution-solar-image-generation-using","title":"High Resolution Solar Image Generation using Generative Adversarial Networks","date":"2021-06-07","arxiv_id":"2106.03814","repositories_listed":0,"syntology":null},{"url":null,"slug":"caflow-conditional-autoregressive-flows","title":"CAFLOW: Conditional Autoregressive Flows","date":"2021-06-04","arxiv_id":"2106.02531","repositories_listed":0,"syntology":null},{"url":"/paper/cascaded-diffusion-models-for-high-fidelity","slug":"cascaded-diffusion-models-for-high-fidelity","title":"Cascaded Diffusion Models for High Fidelity Image Generation","date":"2021-05-30","arxiv_id":"2106.15282","repositories_listed":0,"syntology":null},{"url":null,"slug":"ufc-bert-unifying-multi-modal-controls-for","title":"M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis via Non-Autoregressive Generative Transformers","date":"2021-05-29","arxiv_id":"2105.14211","repositories_listed":0,"syntology":null},{"url":null,"slug":"pattern-detection-in-the-activation-space-for","title":"Pattern Detection in the Activation Space for Identifying Synthesized Content","date":"2021-05-26","arxiv_id":"2105.12479","repositories_listed":0,"syntology":null},{"url":null,"slug":"texture-synthesis-via-projection-onto","title":"Texture synthesis via projection onto multiscale, multilayer statistics","date":"2021-05-22","arxiv_id":"2105.10825","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-transformer-generators-with","title":"Combining Transformer Generators with Convolutional Discriminators","date":"2021-05-21","arxiv_id":"2105.10189","repositories_listed":0,"syntology":null},{"url":null,"slug":"ufc-bert-unifying-multi-modal-controls-for-1","title":"UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis","date":"2021-05-21","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"simple-transparent-adversarial-examples","title":"Simple Transparent Adversarial Examples","date":"2021-05-20","arxiv_id":"2105.09685","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-validation-of-novel-convolutional-2d","title":"Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations","date":"2021-05-19","arxiv_id":"2105.08960","repositories_listed":0,"syntology":null},{"url":null,"slug":"decorating-your-own-bedroom-locally","title":"Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks","date":"2021-05-18","arxiv_id":"2105.08222","repositories_listed":0,"syntology":null},{"url":null,"slug":"exsingan-learning-an-explainable-generative","title":"ExSinGAN: Learning an Explainable Generative Model from a Single Image","date":"2021-05-16","arxiv_id":"2105.07350","repositories_listed":0,"syntology":null},{"url":null,"slug":"sa-gan-structure-aware-generative-adversarial","title":"SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation","date":"2021-05-14","arxiv_id":"2105.07044","repositories_listed":0,"syntology":null},{"url":null,"slug":"passflow-guessing-passwords-with-generative","title":"PassFlow: Guessing Passwords with Generative Flows","date":"2021-05-13","arxiv_id":"2105.06165","repositories_listed":0,"syntology":null},{"url":null,"slug":"transferi2i-transfer-learning-for-image-to","title":"TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets","date":"2021-05-13","arxiv_id":"2105.06219","repositories_listed":0,"syntology":null},{"url":null,"slug":"directional-gan-a-novel-conditioning-strategy","title":"Directional GAN: A Novel Conditioning Strategy for Generative Networks","date":"2021-05-12","arxiv_id":"2105.05712","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiscale-invertible-generative-networks-for-1","title":"Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference","date":"2021-05-12","arxiv_id":"2105.05489","repositories_listed":0,"syntology":null},{"url":"/paper/gans-for-medical-image-synthesis-an-empirical","slug":"gans-for-medical-image-synthesis-an-empirical","title":"GANs for Medical Image Synthesis: An Empirical Study","date":"2021-05-11","arxiv_id":"2105.05318","repositories_listed":0,"syntology":null},{"url":"/paper/casia-face-africa-a-large-scale-african-face","slug":"casia-face-africa-a-large-scale-african-face","title":"CASIA-Face-Africa: A Large-scale African Face Image Database","date":"2021-05-08","arxiv_id":"2105.03632","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-multi-modal-computing","title":"Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis","date":"2021-05-06","arxiv_id":"2105.02835","repositories_listed":0,"syntology":null},{"url":null,"slug":"trend-truncated-generalized-normal-density","title":"TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation","date":"2021-04-30","arxiv_id":"2104.14767","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-synthesis-as-a-pretext-for-unsupervised","title":"Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis","date":"2021-04-28","arxiv_id":"2104.13797","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-driven-attention-guided-image-generation","title":"Pose-driven Attention-guided Image Generation for Person Re-Identification","date":"2021-04-28","arxiv_id":"2104.13773","repositories_listed":0,"syntology":null},{"url":null,"slug":"cagan-text-to-image-generation-with-combined","title":"CAGAN: Text-To-Image Generation with Combined Attention GANs","date":"2021-04-26","arxiv_id":"2104.12663","repositories_listed":0,"syntology":null},{"url":null,"slug":"eccentric-regularization-minimizing","title":"Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection","date":"2021-04-23","arxiv_id":"2104.11610","repositories_listed":0,"syntology":null},{"url":null,"slug":"principal-component-density-estimation-for","title":"Principal Component Density Estimation for Scenario Generation Using Normalizing Flows","date":"2021-04-21","arxiv_id":"2104.10410","repositories_listed":0,"syntology":null},{"url":null,"slug":"coarse-to-fine-searching-for-efficient","title":"Coarse-to-Fine Searching for Efficient Generative Adversarial Networks","date":"2021-04-19","arxiv_id":"2104.09223","repositories_listed":0,"syntology":null},{"url":null,"slug":"step-style-based-encoder-pre-training-for","title":"StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis","date":"2021-04-14","arxiv_id":"2104.07098","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-correction-of-internal-units-in","title":"Automatic Correction of Internal Units in Generative Neural Networks","date":"2021-04-13","arxiv_id":"2104.06118","repositories_listed":0,"syntology":null}],"record_sha256":"224805529d6940e5e2fdf06ddd3dc05a0663ddace3a6126bb0bd4d84761795e1","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}