{"total":312,"rows":[{"id":"2303.11328","title":"Zero-1-to-3: Zero-shot One Image to 3D Object","created":"2023-03-20","cited_by_count":1489,"area":"diffusion"},{"id":"2306.16928","title":"One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization","created":"2023-06-29","cited_by_count":560,"area":"diffusion"},{"id":"2112.12761","title":"BANMo: Building Animatable 3D Neural Models from Many Casual Videos","created":"2021-12-23","cited_by_count":197,"area":null},{"id":"2104.03110","title":"Neural Articulated Radiance Field","created":"2021-04-07","cited_by_count":196,"area":null},{"id":"2110.12951","title":"Seeing biodiversity: perspectives in machine learning for wildlife conservation","created":"2021-10-25","cited_by_count":130,"area":null},{"id":"2311.02848","title":"Consistent4D: Consistent 360{\\deg} Dynamic Object Generation from Monocular Video","created":"2023-11-06","cited_by_count":125,"area":null},{"id":"2105.01905","title":"4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface","created":"2021-05-05","cited_by_count":124,"area":null},{"id":"2311.16099","title":"GART: Gaussian Articulated Template Models","created":"2023-11-27","cited_by_count":121,"area":null},{"id":"2105.02976","title":"LASR: Learning Articulated Shape Reconstruction from a Monocular Video","created":"2021-05-06","cited_by_count":116,"area":null},{"id":"2104.07645","title":"A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation","created":"2021-04-15","cited_by_count":114,"area":null},{"id":"2211.12497","title":"MagicPony: Learning Articulated 3D Animals in the Wild","created":"2022-11-22","cited_by_count":112,"area":null},{"id":"2204.08129","title":"Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding","created":"2022-04-18","cited_by_count":103,"area":null},{"id":"2206.14314","title":"Generative Neural Articulated Radiance Fields","created":"2022-06-28","cited_by_count":101,"area":null},{"id":"2104.00702","title":"NPMs: Neural Parametric Models for 3D Deformable Shapes","created":"2021-04-01","cited_by_count":90,"area":null},{"id":"2312.11360","title":"Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering","created":"2023-12-18","cited_by_count":84,"area":null},{"id":"2407.17418","title":"3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities","created":"2024-07-24","cited_by_count":78,"area":null},{"id":"2502.19459","title":"ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting","created":"2025-02-26","cited_by_count":67,"area":null},{"id":"2207.03434","title":"LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery","created":"2022-07-07","cited_by_count":66,"area":null},{"id":"2204.08839","title":"Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations","created":"2022-04-19","cited_by_count":65,"area":null},{"id":"2204.01695","title":"LISA: Learning Implicit Shape and Appearance of Hands","created":"2022-04-04","cited_by_count":63,"area":null},{"id":"2107.10844","title":"DOVE: Learning Deformable 3D Objects by Watching Videos","created":"2021-07-22","cited_by_count":61,"area":null},{"id":"2203.07858","title":"A Survey of Non-Rigid 3D Registration","created":"2022-03-11","cited_by_count":59,"area":null},{"id":"2401.02400","title":"Learning the 3D Fauna of the Web","created":"2024-01-04","cited_by_count":59,"area":null},{"id":"2108.12958","title":"3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations","created":"2021-08-30","cited_by_count":58,"area":null},{"id":"2206.15258","title":"Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera","created":"2022-06-30","cited_by_count":57,"area":null},{"id":"2304.14419","title":"Unsupervised Learning of Robust Spectral Shape Matching","created":"2023-04-27","cited_by_count":57,"area":null},{"id":"2211.15601","title":"Fast-SNARF: A Fast Deformer for Articulated Neural Fields","created":"2022-11-28","cited_by_count":55,"area":null},{"id":"2311.17024","title":"Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features","created":"2023-11-28","cited_by_count":55,"area":null},{"id":"2106.13679","title":"Shape registration in the time of transformers","created":"2021-06-25","cited_by_count":51,"area":null},{"id":"2203.15536","title":"BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information","created":"2022-03-29","cited_by_count":51,"area":null},{"id":"2205.08525","title":"Self-supervised Neural Articulated Shape and Appearance Models","created":"2022-05-17","cited_by_count":51,"area":null},{"id":"2103.14843","title":"From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation","created":"2021-03-27","cited_by_count":48,"area":null},{"id":"2305.06351","title":"Reconstructing Animatable Categories from Videos","created":"2023-05-10","cited_by_count":47,"area":null},{"id":"2404.11151","title":"REACTO: Reconstructing Articulated Objects from a Single Video","created":"2024-04-17","cited_by_count":45,"area":null},{"id":"2308.11737","title":"Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape","created":"2023-08-22","cited_by_count":44,"area":null},{"id":"2508.10898","title":"Puppeteer: Rig and Animate Your 3D Models","created":"2025-08-14","cited_by_count":43,"area":null},{"id":"2303.16333","title":"Flow supervision for Deformable NeRF","created":"2023-03-28","cited_by_count":42,"area":null},{"id":"2206.04382","title":"CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes","created":"2022-06-09","cited_by_count":41,"area":null},{"id":"2502.17327","title":"AnyTop: Character Animation Diffusion with Any Topology","created":"2025-02-24","cited_by_count":41,"area":null},{"id":"2509.20358","title":"PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation","created":"2025-09-24","cited_by_count":41,"area":"diffusion"},{"id":"2108.09432","title":"ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators","created":"2021-08-21","cited_by_count":40,"area":null},{"id":"2304.02626","title":"Dynamic Point Fields","created":"2023-04-05","cited_by_count":37,"area":null},{"id":"2204.13453","title":"Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching","created":"2022-04-28","cited_by_count":36,"area":null},{"id":"2210.06373","title":"Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching","created":"2022-10-12","cited_by_count":35,"area":null},{"id":"2211.03568","title":"CASA: Category-agnostic Skeletal Animal Reconstruction","created":"2022-11-04","cited_by_count":35,"area":null},{"id":"2402.06149","title":"HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting","created":"2024-02-09","cited_by_count":35,"area":null},{"id":"2306.00979","title":"Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds","created":"2023-06-01","cited_by_count":34,"area":null},{"id":"2306.03253","title":"Zero-Shot 3D Shape Correspondence","created":"2023-06-05","cited_by_count":33,"area":null},{"id":"2403.15382","title":"DragAPart: Learning a Part-Level Motion Prior for Articulated Objects","created":"2024-03-22","cited_by_count":32,"area":null},{"id":"2212.11042","title":"Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble","created":"2022-12-21","cited_by_count":31,"area":null},{"id":"2105.09396","title":"Birds of a Feather: Capturing Avian Shape Models from Images","created":"2021-05-19","cited_by_count":30,"area":null},{"id":"2109.15025","title":"3D Pose Transfer with Correspondence Learning and Mesh Refinement","created":"2021-09-30","cited_by_count":30,"area":null},{"id":"2210.15664","title":"State of the Art in Dense Monocular Non-Rigid 3D Reconstruction","created":"2022-10-27","cited_by_count":30,"area":null},{"id":"2308.08871","title":"Spatially and Spectrally Consistent Deep Functional Maps","created":"2023-08-17","cited_by_count":30,"area":null},{"id":"2201.08141","title":"SPAMs: Structured Implicit Parametric Models","created":"2022-01-20","cited_by_count":29,"area":null},{"id":"2205.06267","title":"Topologically-Aware Deformation Fields for Single-View 3D Reconstruction","created":"2022-05-12","cited_by_count":29,"area":null},{"id":"2401.06614","title":"Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking","created":"2024-01-12","cited_by_count":29,"area":"diffusion"},{"id":"2205.02904","title":"Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes","created":"2022-05-05","cited_by_count":28,"area":null},{"id":"2408.04631","title":"Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics","created":"2024-08-08","cited_by_count":28,"area":null},{"id":"2403.03122","title":"NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors","created":"2024-03-05","cited_by_count":27,"area":null},{"id":"2311.01447","title":"CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation","created":"2023-11-02","cited_by_count":26,"area":null},{"id":"2402.18920","title":"Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation","created":"2024-02-29","cited_by_count":26,"area":null},{"id":"2403.17103","title":"Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos","created":"2024-03-25","cited_by_count":26,"area":null},{"id":"2204.10129","title":"OSSO: Obtaining Skeletal Shape from Outside","created":"2022-04-21","cited_by_count":25,"area":null},{"id":"2401.11067","title":"Make-A-Shape: a Ten-Million-scale 3D Shape Model","created":"2024-01-20","cited_by_count":25,"area":null},{"id":"2202.01537","title":"Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport","created":"2022-02-03","cited_by_count":24,"area":null},{"id":"2306.04619","title":"ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections","created":"2023-06-07","cited_by_count":22,"area":"diffusion"},{"id":"2407.19451","title":"Perm: A Parametric Representation for Multi-Style 3D Hair Modeling","created":"2024-07-28","cited_by_count":22,"area":null},{"id":"2108.04476","title":"SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation","created":"2021-08-10","cited_by_count":21,"area":null},{"id":"2211.10278","title":"Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction","created":"2022-11-18","cited_by_count":21,"area":null},{"id":"2312.14024","title":"NICP: Neural ICP for 3D Human Registration at Scale","created":"2023-12-21","cited_by_count":21,"area":null},{"id":"2303.16527","title":"Understanding and Improving Features Learned in Deep Functional Maps","created":"2023-03-29","cited_by_count":20,"area":null},{"id":"2311.18303","title":"OmniMotionGPT: Animal Motion Generation with Limited Data","created":"2023-11-30","cited_by_count":20,"area":null},{"id":"2412.00837","title":"AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer","created":"2024-12-01","cited_by_count":20,"area":null},{"id":"2108.13958","title":"A Novel Dataset for Keypoint Detection of quadruped Animals from Images","created":"2021-08-31","cited_by_count":19,"area":null},{"id":"2112.01741","title":"Frame Averaging for Equivariant Shape Space Learning","created":"2021-12-03","cited_by_count":19,"area":null},{"id":"2204.12805","title":"A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching","created":"2022-04-27","cited_by_count":19,"area":null},{"id":"2304.05395","title":"SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence","created":"2023-04-10","cited_by_count":19,"area":null},{"id":"2106.10102","title":"hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition","created":"2021-06-18","cited_by_count":18,"area":null},{"id":"2301.05839","title":"NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching","created":"2023-01-14","cited_by_count":18,"area":null},{"id":"2303.13174","title":"3D-POP -- An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture","created":"2023-03-23","cited_by_count":18,"area":null},{"id":"2405.14017","title":"MagicPose4D: Crafting Articulated Models with Appearance and Motion Control","created":"2024-05-22","cited_by_count":18,"area":null},{"id":"2112.09546","title":"Complex Functional Maps : a Conformal Link Between Tangent Bundles","created":"2021-12-17","cited_by_count":17,"area":null},{"id":"2111.08176","title":"Coarse-to-fine Animal Pose and Shape Estimation","created":"2021-11-16","cited_by_count":16,"area":null},{"id":"2303.13514","title":"SAOR: Single-View Articulated Object Reconstruction","created":"2023-03-23","cited_by_count":16,"area":null},{"id":"2404.12209","title":"Partial-to-Partial Shape Matching with Geometric Consistency","created":"2024-04-18","cited_by_count":16,"area":null},{"id":"2111.12448","title":"3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces","created":"2021-11-24","cited_by_count":15,"area":null},{"id":"2305.19065","title":"Template-free Articulated Neural Point Clouds for Reposable View Synthesis","created":"2023-05-30","cited_by_count":15,"area":null},{"id":"2104.03356","title":"Universal Spectral Adversarial Attacks for Deformable Shapes","created":"2021-04-07","cited_by_count":14,"area":null},{"id":"2403.11427","title":"BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors","created":"2024-03-18","cited_by_count":14,"area":"diffusion"},{"id":"2404.00330","title":"Memory-Scalable and Simplified Functional Map Learning","created":"2024-03-30","cited_by_count":14,"area":null},{"id":"2503.01845","title":"Denoising Functional Maps: Diffusion Models for Shape Correspondence","created":"2025-03-03","cited_by_count":14,"area":"diffusion"},{"id":"2503.16822","title":"RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos","created":"2025-03-21","cited_by_count":14,"area":null},{"id":"2503.23241","title":"Geometry in Style: 3D Stylization via Surface Normal Deformation","created":"2025-03-29","cited_by_count":14,"area":null},{"id":"2507.21045","title":"Reconstructing 4D Spatial Intelligence: A Survey","created":"2025-07-28","cited_by_count":14,"area":null},{"id":"2106.09758","title":"Discovering Relationships between Object Categories via Universal Canonical Maps","created":"2021-06-17","cited_by_count":13,"area":null},{"id":"2203.07694","title":"Implicit field supervision for robust non-rigid shape matching","created":"2022-03-15","cited_by_count":13,"area":null},{"id":"2209.07806","title":"SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence","created":"2022-09-16","cited_by_count":13,"area":null},{"id":"2304.08279","title":"MoDA: Modeling Deformable 3D Objects from Casual Videos","created":"2023-04-17","cited_by_count":13,"area":null},{"id":"2306.00200","title":"Zero-shot Pose Transfer for Unrigged Stylized 3D Characters","created":"2023-05-31","cited_by_count":13,"area":null}],"next_cursor":"100"}