{"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/text-to-3d/papers/2","list_of":"/task/text-to-3d","task":"Text to 3D","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":2,"pages_in_order":4,"rows_per_page":100,"rows":[101,200],"of":314,"counts":{"archive_papers_tagged":314,"with_a_code_link":102,"where_syntology_ran_a_sample":56,"not_listed_spam_title":0,"listed":314,"listed_where_code_ran":56,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":49,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":49,"listed_every_run_a_failure_of_syntologys_instrument":7,"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/text-to-3d","prev":"/task/text-to-3d","next":"/task/text-to-3d/papers/3","papers":[{"url":"/paper/magic3d-high-resolution-text-to-3d-content","slug":"magic3d-high-resolution-text-to-3d-content","title":"Magic3D: High-Resolution Text-to-3D Content Creation","date":"2022-11-18","arxiv_id":"2211.10440","repositories_listed":1,"syntology":null},{"url":"/paper/intelligent-home-3d-automatic-3d-house-design","slug":"intelligent-home-3d-automatic-3d-house-design","title":"Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only","date":"2020-03-01","arxiv_id":"2003.00397","repositories_listed":1,"syntology":null},{"url":null,"slug":"acquiring-and-adapting-priors-for-novel-tasks","title":"Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures","date":"2025-07-07","arxiv_id":"2507.10446","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamanywhere-object-centric-panoramic-3d","title":"DreamAnywhere: Object-Centric Panoramic 3D Scene Generation","date":"2025-06-25","arxiv_id":"2506.20367","repositories_listed":0,"syntology":null},{"url":null,"slug":"dive3d-diverse-distillation-based-text-to-3d","title":"Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching","date":"2025-06-16","arxiv_id":"2506.13594","repositories_listed":0,"syntology":null},{"url":null,"slug":"2506-10600","title":"EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence","date":"2025-06-12","arxiv_id":"2506.10600","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamcs-geometry-aware-text-to-3d-generation","title":"DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision","date":"2025-06-11","arxiv_id":"2506.09814","repositories_listed":0,"syntology":null},{"url":null,"slug":"r3d2-realistic-3d-asset-insertion-via","title":"R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation","date":"2025-06-09","arxiv_id":"2506.07826","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-powered-contextual-3d-environment","title":"AI-powered Contextual 3D Environment Generation: A Systematic Review","date":"2025-06-05","arxiv_id":"2506.05449","repositories_listed":0,"syntology":null},{"url":null,"slug":"artiscene-language-driven-artistic-3d-scene-1","title":"ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary","date":"2025-05-31","arxiv_id":"2506.00742","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-scene-generation-state-of-the-art","title":"Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects","date":"2025-05-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/uni-instruct-one-step-diffusion-model-through","slug":"uni-instruct-one-step-diffusion-model-through","title":"Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction","date":"2025-05-27","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"art-deco-arbitrary-text-guidance-for-3d","title":"ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction","date":"2025-05-26","arxiv_id":"2505.20431","repositories_listed":0,"syntology":null},{"url":null,"slug":"harnessing-the-power-of-training-free","title":"Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling","date":"2025-05-26","arxiv_id":"2505.19868","repositories_listed":0,"syntology":null},{"url":null,"slug":"plantdreamer-achieving-realistic-3d-plant","title":"PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting","date":"2025-05-21","arxiv_id":"2505.15528","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-geometry-coherent-text-to-3d","title":"Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting","date":"2025-05-07","arxiv_id":"2505.04262","repositories_listed":0,"syntology":null},{"url":null,"slug":"score-distillation-sampling-for-audio-source","title":"Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond","date":"2025-05-07","arxiv_id":"2505.04621","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-score-distilling-sampling-for-3d","title":"Rethinking Score Distilling Sampling for 3D Editing and Generation","date":"2025-05-03","arxiv_id":"2505.01888","repositories_listed":0,"syntology":null},{"url":null,"slug":"esct3d-efficient-and-selectively-controllable","title":"ESCT3D: Efficient and Selectively Controllable Text-Driven 3D Content Generation with Gaussian Splatting","date":"2025-04-14","arxiv_id":"2504.10316","repositories_listed":0,"syntology":null},{"url":null,"slug":"gen3deval-using-vllms-for-automatic","title":"Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects","date":"2025-04-10","arxiv_id":"2504.08125","repositories_listed":0,"syntology":null},{"url":null,"slug":"3dbonsai-structure-aware-bonsai-modeling","title":"3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splatting","date":"2025-04-02","arxiv_id":"2504.01619","repositories_listed":0,"syntology":null},{"url":null,"slug":"3dgen-bench-comprehensive-benchmark-suite-for","title":"3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models","date":"2025-03-27","arxiv_id":"2503.21745","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-human-object-interaction-synthesis","title":"Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors","date":"2025-03-25","arxiv_id":"2503.20118","repositories_listed":0,"syntology":null},{"url":null,"slug":"videorfsplat-direct-scene-level-text-to-3d","title":"VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling","date":"2025-03-20","arxiv_id":"2503.15855","repositories_listed":0,"syntology":null},{"url":null,"slug":"shap-med","title":"Shap-MeD","date":"2025-03-19","arxiv_id":"2503.15562","repositories_listed":0,"syntology":null},{"url":null,"slug":"tailor-an-integrated-text-driven-cg-ready","title":"Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System","date":"2025-03-15","arxiv_id":"2503.12052","repositories_listed":0,"syntology":null},{"url":null,"slug":"directtrigs-triplane-based-gaussian-splatting","title":"DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation","date":"2025-03-10","arxiv_id":"2503.06900","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-to-3d-generation-using-jensen-shannon","title":"Text-to-3D Generation using Jensen-Shannon Score Distillation","date":"2025-03-08","arxiv_id":"2503.10660","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolution-6-0-evolving-robotic-capabilities","title":"Evolution 6.0: Evolving Robotic Capabilities Through Generative Design","date":"2025-02-24","arxiv_id":"2502.17034","repositories_listed":0,"syntology":null},{"url":null,"slug":"mean-shift-distillation-for-diffusion-mode","title":"Mean-Shift Distillation for Diffusion Mode Seeking","date":"2025-02-21","arxiv_id":"2502.15989","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussianmotion-end-to-end-learning-of","title":"GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text","date":"2025-02-17","arxiv_id":"2502.11642","repositories_listed":0,"syntology":null},{"url":null,"slug":"syllables-to-scenes-literary-guided-free","title":"Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku","date":"2025-02-17","arxiv_id":"2502.11586","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamdpo-aligning-text-to-3d-generation-with","title":"DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization","date":"2025-02-05","arxiv_id":"2502.04370","repositories_listed":0,"syntology":null},{"url":null,"slug":"layoutdreamer-physics-guided-layout-for-text","title":"LAYOUTDREAMER: Physics-guided Layout for Text-to-3D Compositional Scene Generation","date":"2025-02-04","arxiv_id":"2502.01949","repositories_listed":0,"syntology":null},{"url":null,"slug":"phip-g-physics-guided-text-to-3d","title":"PhiP-G: Physics-Guided Text-to-3D Compositional Scene Generation","date":"2025-02-02","arxiv_id":"2502.00708","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistent-flow-distillation-for-text-to-3d","title":"Consistent Flow Distillation for Text-to-3D Generation","date":"2025-01-09","arxiv_id":"2501.05445","repositories_listed":0,"syntology":null},{"url":null,"slug":"layout2scene-3d-semantic-layout-guided-scene","title":"Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors","date":"2025-01-05","arxiv_id":"2501.02519","repositories_listed":0,"syntology":null},{"url":null,"slug":"coser-towards-consistent-dense-multiview-text","title":"CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"taming-feed-forward-reconstruction-models-as","title":"Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models","date":"2024-12-31","arxiv_id":"2501.00651","repositories_listed":0,"syntology":null},{"url":null,"slug":"prometheus-3d-aware-latent-diffusion-models","title":"Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation","date":"2024-12-30","arxiv_id":"2412.21117","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-scene-graph-and-layout-guided-complex","title":"Toward Scene Graph and Layout Guided Complex 3D Scene Generation","date":"2024-12-29","arxiv_id":"2412.20473","repositories_listed":0,"syntology":null},{"url":null,"slug":"depthlab-from-partial-to-complete","title":"DepthLab: From Partial to Complete","date":"2024-12-24","arxiv_id":"2412.18153","repositories_listed":0,"syntology":null},{"url":null,"slug":"tar3d-creating-high-quality-3d-assets-via","title":"TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction","date":"2024-12-22","arxiv_id":"2412.16919","repositories_listed":0,"syntology":null},{"url":null,"slug":"ganfusion-feed-forward-text-to-3d-with","title":"GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space","date":"2024-12-21","arxiv_id":"2412.16717","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamark-rooting-watermark-in-score","title":"DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields","date":"2024-12-18","arxiv_id":"2412.15278","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-and-learning-multi-dimensional","title":"Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation","date":"2024-12-15","arxiv_id":"2412.11170","repositories_listed":0,"syntology":null},{"url":null,"slug":"gt23d-bench-a-comprehensive-general-text-to","title":"GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark","date":"2024-12-13","arxiv_id":"2412.09997","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-to-3d-gaussian-splatting-with-physics","title":"Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation","date":"2024-12-07","arxiv_id":"2412.05560","repositories_listed":0,"syntology":null},{"url":null,"slug":"turbo3d-ultra-fast-text-to-3d-generation","title":"Turbo3D: Ultra-fast Text-to-3D Generation","date":"2024-12-05","arxiv_id":"2412.04470","repositories_listed":0,"syntology":null},{"url":null,"slug":"viewpoint-consistency-in-3d-generation-via","title":"Viewpoint Consistency in 3D Generation via Attention and CLIP Guidance","date":"2024-12-03","arxiv_id":"2412.02287","repositories_listed":0,"syntology":null},{"url":null,"slug":"3dsceneeditor-controllable-3d-scene-editing","title":"3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting","date":"2024-12-02","arxiv_id":"2412.01583","repositories_listed":0,"syntology":null},{"url":null,"slug":"fleximo-towards-flexible-text-to-human-motion","title":"Fleximo: Towards Flexible Text-to-Human Motion Video Generation","date":"2024-11-29","arxiv_id":"2411.19459","repositories_listed":0,"syntology":null},{"url":null,"slug":"sama-material-aware-3d-selection-and","title":"SAMa: Material-aware 3D Selection and Segmentation","date":"2024-11-28","arxiv_id":"2411.19322","repositories_listed":0,"syntology":null},{"url":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","repositories_listed":0,"syntology":null},{"url":null,"slug":"novelgs-consistent-novel-view-denoising-via","title":"NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model","date":"2024-11-25","arxiv_id":"2411.16779","repositories_listed":0,"syntology":null},{"url":null,"slug":"baking-gaussian-splatting-into-diffusion","title":"Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction","date":"2024-11-21","arxiv_id":"2411.14384","repositories_listed":0,"syntology":null},{"url":null,"slug":"mvlight-relightable-text-to-3d-generation-via","title":"MVLight: Relightable Text-to-3D Generation via Light-conditioned Multi-View Diffusion","date":"2024-11-18","arxiv_id":"2411.11475","repositories_listed":0,"syntology":null},{"url":null,"slug":"text2cad-text-to-3d-cad-generation-via","title":"Text2CAD: Text to 3D CAD Generation via Technical Drawings","date":"2024-11-09","arxiv_id":"2411.06206","repositories_listed":0,"syntology":null},{"url":null,"slug":"hunyuan3d-1-0-a-unified-framework-for-text-to","title":"Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation","date":"2024-11-04","arxiv_id":"2411.02293","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreampolish-domain-score-distillation-with","title":"DreamPolish: Domain Score Distillation With Progressive Geometry Generation","date":"2024-11-03","arxiv_id":"2411.01602","repositories_listed":0,"syntology":null},{"url":null,"slug":"compgs-unleashing-2d-compositionality-for","title":"CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians","date":"2024-10-28","arxiv_id":"2410.20723","repositories_listed":0,"syntology":null},{"url":null,"slug":"layout-your-3d-controllable-and-precise-3d","title":"Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint","date":"2024-10-20","arxiv_id":"2410.15391","repositories_listed":0,"syntology":null},{"url":null,"slug":"tv-3dg-mastering-text-to-3d-customized","title":"TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt","date":"2024-10-16","arxiv_id":"2410.21299","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-score-distillation-sampling-for","title":"Semantic Score Distillation Sampling for Compositional Text-to-3D Generation","date":"2024-10-11","arxiv_id":"2410.09009","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmhead-towards-fine-grained-multi-modal-3d","title":"MMHead: Towards Fine-grained Multi-modal 3D Facial Animation","date":"2024-10-10","arxiv_id":"2410.07757","repositories_listed":0,"syntology":null},{"url":null,"slug":"semv-3d-towards-semantic-and-mutil-view","title":"SeMv-3D: Towards Concurrency of Semantic and Multi-view Consistency in General Text-to-3D Generation","date":"2024-10-10","arxiv_id":"2410.07658","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreammesh-jointly-manipulating-and-texturing","title":"DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation","date":"2024-09-11","arxiv_id":"2409.07454","repositories_listed":0,"syntology":null},{"url":null,"slug":"mvgaussian-high-fidelity-text-to-3d-content","title":"MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification","date":"2024-09-10","arxiv_id":"2409.06620","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreammapping-high-fidelity-text-to-3d","title":"DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping","date":"2024-09-08","arxiv_id":"2409.05099","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-image-diffusion-fast-and-data","title":"Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation","date":"2024-09-05","arxiv_id":"2409.03718","repositories_listed":0,"syntology":null},{"url":null,"slug":"comogen-a-controllable-text-to-3d-multi","title":"COMOGen: A Controllable Text-to-3D Multi-object Generation Framework","date":"2024-09-01","arxiv_id":"2409.00590","repositories_listed":0,"syntology":null},{"url":null,"slug":"focus-on-neighbors-and-know-the-whole-towards","title":"Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation","date":"2024-08-23","arxiv_id":"2408.13149","repositories_listed":0,"syntology":null},{"url":null,"slug":"meshformer-high-quality-mesh-generation-with","title":"MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model","date":"2024-08-19","arxiv_id":"2408.10198","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-geometric-moments-promote-shape","title":"Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation","date":"2024-08-12","arxiv_id":"2408.05938","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamcouple-exploring-high-quality-text-to-3d","title":"FlowDreamer: Exploring High Fidelity Text-to-3D Generation via Rectified Flow","date":"2024-08-09","arxiv_id":"2408.05008","repositories_listed":0,"syntology":null},{"url":null,"slug":"localized-gaussian-splatting-editing-with","title":"Localized Gaussian Splatting Editing with Contextual Awareness","date":"2024-07-31","arxiv_id":"2408.00083","repositories_listed":0,"syntology":null},{"url":null,"slug":"magic3dsketch-create-colorful-3d-models-from","title":"Magic3DSketch: Create Colorful 3D Models From Sketch-Based 3D Modeling Guided by Text and Language-Image Pre-Training","date":"2024-07-27","arxiv_id":"2407.19225","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamdissector-learning-disentangled-text-to","title":"DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors","date":"2024-07-23","arxiv_id":"2407.16260","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreamvton-customizing-3d-virtual-try-on-with","title":"DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models","date":"2024-07-23","arxiv_id":"2407.16511","repositories_listed":0,"syntology":null},{"url":null,"slug":"hots3d-hyper-spherical-optimal-transport-for","title":"HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation","date":"2024-07-19","arxiv_id":"2407.14419","repositories_listed":0,"syntology":null},{"url":null,"slug":"4dynamic-text-to-4d-generation-with-hybrid","title":"4Dynamic: Text-to-4D Generation with Hybrid Priors","date":"2024-07-17","arxiv_id":"2407.12684","repositories_listed":0,"syntology":null},{"url":null,"slug":"jointdreamer-ensuring-geometry-consistency","title":"JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation","date":"2024-07-17","arxiv_id":"2407.12291","repositories_listed":0,"syntology":null},{"url":null,"slug":"vividdreamer-invariant-score-distillation-for","title":"VividDreamer: Invariant Score Distillation For Hyper-Realistic Text-to-3D Generation","date":"2024-07-13","arxiv_id":"2407.09822","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-3d-assetgen-text-to-mesh-generation-with","title":"Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials","date":"2024-07-02","arxiv_id":"2407.02445","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-3d-gen","title":"Meta 3D Gen","date":"2024-07-02","arxiv_id":"2407.02599","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-aware-score-distillation-via-3d","title":"Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling","date":"2024-06-24","arxiv_id":"2406.16695","repositories_listed":0,"syntology":null},{"url":null,"slug":"youdream-generating-anatomically-controllable","title":"YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals","date":"2024-06-24","arxiv_id":"2406.16273","repositories_listed":0,"syntology":null},{"url":null,"slug":"vividdreamer-towards-high-fidelity-and","title":"VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation","date":"2024-06-21","arxiv_id":"2406.14964","repositories_listed":0,"syntology":null},{"url":null,"slug":"orientdream-streamlining-text-to-3d","title":"OrientDream: Streamlining Text-to-3D Generation with Explicit Orientation Control","date":"2024-06-14","arxiv_id":"2406.10000","repositories_listed":0,"syntology":null},{"url":null,"slug":"c3dag-controlled-3d-animal-generation-using","title":"C3DAG: Controlled 3D Animal Generation using 3D pose guidance","date":"2024-06-11","arxiv_id":"2406.07742","repositories_listed":0,"syntology":null},{"url":null,"slug":"sym3d-learning-symmetric-triplanes-for-better","title":"SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs","date":"2024-06-10","arxiv_id":"2406.06432","repositories_listed":0,"syntology":null},{"url":null,"slug":"dream-in-style-text-to-3d-generation-using","title":"Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation","date":"2024-06-05","arxiv_id":"2406.18581","repositories_listed":0,"syntology":null},{"url":null,"slug":"robocasa-large-scale-simulation-of-everyday","title":"RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots","date":"2024-06-04","arxiv_id":"2406.02523","repositories_listed":0,"syntology":null},{"url":null,"slug":"roomtex-texturing-compositional-indoor-scenes","title":"RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting","date":"2024-06-04","arxiv_id":"2406.02461","repositories_listed":0,"syntology":null},{"url":null,"slug":"pla4d-pixel-level-alignments-for-text-to-4d","title":"PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting","date":"2024-05-30","arxiv_id":"2405.19957","repositories_listed":0,"syntology":null},{"url":null,"slug":"tetsphere-splatting-representing-high-quality","title":"TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes","date":"2024-05-30","arxiv_id":"2405.20283","repositories_listed":0,"syntology":null},{"url":null,"slug":"atlas3d-physically-constrained-self","title":"Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication","date":"2024-05-28","arxiv_id":"2405.18515","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual3d-efficient-and-consistent-text-to-3d","title":"Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion","date":"2024-05-16","arxiv_id":"2405.09874","repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-score-distillation-for-diverse-text-to","title":"Flow Score Distillation for Diverse Text-to-3D Generation","date":"2024-05-16","arxiv_id":"2405.10988","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-text-to-3d-contents-generation-in","title":"A Survey On Text-to-3D Contents Generation In The Wild","date":"2024-05-15","arxiv_id":"2405.09431","repositories_listed":0,"syntology":null}],"record_sha256":"901c0d835a81f7d702580ce6e9ff404cee85bf047098331a8b73ca88a934a125","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}