{"list":"other","total":67,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"id":"1612.00796","title":"Overcoming catastrophic forgetting in neural networks","created":"2016-12-02","cited_by_count":4787},{"id":"2205.01068","title":"OPT: Open Pre-trained Transformer Language Models","created":"2022-05-02","cited_by_count":3512},{"id":"2212.08051","title":"Objaverse: A Universe of Annotated 3D Objects","created":"2022-12-15","cited_by_count":1540},{"id":"2011.00931","title":"Point Transformer","created":"2020-11-02","cited_by_count":1470},{"id":"1710.03740","title":"Mixed Precision Training","created":"2017-10-10","cited_by_count":1156},{"id":"1506.03099","title":"Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks","created":"2015-06-09","cited_by_count":803},{"id":"2307.05663","title":"Objaverse-XL: A Universe of 10M+ 3D Objects","created":"2023-07-11","cited_by_count":774},{"id":"2111.14819","title":"Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling","created":"2021-11-29","cited_by_count":653},{"id":"1912.05656","title":"VIBE: Video Inference for Human Body Pose and Shape Estimation","created":"2019-12-11","cited_by_count":620},{"id":"2312.10035","title":"Point Transformer V3: Simpler, Faster, Stronger","created":"2023-12-15","cited_by_count":589},{"id":"2012.09760","title":"End-to-End Human Pose and Mesh Reconstruction with Transformers","created":"2020-12-17","cited_by_count":418},{"id":"2203.08063","title":"MotionCLIP: Exposing Human Motion Generation to CLIP Space","created":"2022-03-15","cited_by_count":408},{"id":"1811.11742","title":"3D human pose estimation in video with temporal convolutions and semi-supervised training","created":"2018-11-28","cited_by_count":403},{"id":"2305.20091","title":"Humans in 4D: Reconstructing and Tracking Humans with Transformers","created":"2023-05-31","cited_by_count":350},{"id":"2104.03953","title":"SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes","created":"2021-04-08","cited_by_count":221},{"id":"2301.05712","title":"A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends","created":"2023-01-13","cited_by_count":207},{"id":"1904.12787","title":"Graph Matching Networks for Learning the Similarity of Graph Structured Objects","created":"2019-04-29","cited_by_count":205},{"id":"2112.12761","title":"BANMo: Building Animatable 3D Neural Models from Many Casual Videos","created":"2021-12-23","cited_by_count":197},{"id":"1901.06003","title":"Gromov-Wasserstein Learning for Graph Matching and Node Embedding","created":"2019-01-17","cited_by_count":126},{"id":"2105.01905","title":"4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface","created":"2021-05-05","cited_by_count":124},{"id":"2105.02976","title":"LASR: Learning Articulated Shape Reconstruction from a Monocular Video","created":"2021-05-06","cited_by_count":116},{"id":"2211.12497","title":"MagicPony: Learning Articulated 3D Animals in the Wild","created":"2022-11-22","cited_by_count":112},{"id":"2112.04702","title":"Fast Point Transformer","created":"2021-12-09","cited_by_count":104},{"id":"1808.05689","title":"SimGNN: A Neural Network Approach to Fast Graph Similarity Computation","created":"2018-08-16","cited_by_count":90},{"id":"1809.03036","title":"A Neural Temporal Model for Human Motion Prediction","created":"2018-09-09","cited_by_count":87},{"id":"2403.17920","title":"TC4D: Trajectory-Conditioned Text-to-4D Generation","created":"2024-03-26","cited_by_count":77},{"id":"2105.02451","title":"Learning Skeletal Articulations with Neural Blend Shapes","created":"2021-05-06","cited_by_count":53},{"id":"1805.10712","title":"NetLSD: Hearing the Shape of a Graph","created":"2018-05-27","cited_by_count":52},{"id":"2502.09615","title":"RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets","created":"2025-02-13","cited_by_count":47},{"id":"1809.04440","title":"Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching","created":"2018-09-10","cited_by_count":46},{"id":"2404.11151","title":"REACTO: Reconstructing Articulated Objects from a Single Video","created":"2024-04-17","cited_by_count":45},{"id":"2504.12451","title":"One Model to Rig Them All: Diverse Skeleton Rigging with UniRig","created":"2025-04-16","cited_by_count":45},{"id":"2508.10868","title":"TexVerse: A Universe of 3D Objects with High-Resolution Textures","created":"2025-08-14","cited_by_count":45},{"id":"2111.00207","title":"PatchFormer: An Efficient Point Transformer with Patch Attention","created":"2021-10-30","cited_by_count":43},{"id":"2502.12135","title":"MagicArticulate: Make Your 3D Models Articulation-Ready","created":"2025-02-17","cited_by_count":43},{"id":"2508.10898","title":"Puppeteer: Rig and Animate Your 3D Models","created":"2025-08-14","cited_by_count":43},{"id":"1908.08506","title":"Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets","created":"2019-08-22","cited_by_count":39},{"id":"2503.09631","title":"V2M4: 4D Mesh Animation Reconstruction from a Single Monocular Video","created":"2025-03-11","cited_by_count":33},{"id":"2112.13143","title":"GREED: A Neural Framework for Learning Graph Distance Functions","created":"2021-12-24","cited_by_count":32},{"id":"2506.09982","title":"AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation","created":"2025-06-11","cited_by_count":32},{"id":"2403.17103","title":"Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos","created":"2024-03-25","cited_by_count":26},{"id":"2406.14929","title":"Efficient Graph Similarity Computation with Alignment Regularization","created":"2024-06-21","cited_by_count":26},{"id":"2411.17423","title":"DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters","created":"2024-11-26","cited_by_count":24},{"id":"2411.18197","title":"Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters","created":"2024-11-27","cited_by_count":23},{"id":"2505.21925","title":"RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination","created":"2025-05-28","cited_by_count":23},{"id":"2404.12379","title":"Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes","created":"2024-04-18","cited_by_count":22},{"id":"2111.12696","title":"A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose","created":"2021-11-24","cited_by_count":21},{"id":"2312.13604","title":"Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos","created":"2023-12-21","cited_by_count":21},{"id":"2210.09463","title":"Morig: Motion-aware rigging of character meshes from point clouds","created":"2022-10-17","cited_by_count":20},{"id":"2504.07334","title":"Objaverse++: Curated 3D Object Dataset with Quality Annotations","created":"2025-04-09","cited_by_count":20},{"id":"2405.14017","title":"MagicPose4D: Crafting Articulated Models with Appearance and Motion Control","created":"2024-05-22","cited_by_count":18},{"id":"2407.12684","title":"4Dynamic: Text-to-4D Generation with Hybrid Priors","created":"2024-07-17","cited_by_count":15},{"id":"2408.08342","title":"CT4D: Consistent Text-to-4D Generation with Animatable Meshes","created":"2024-08-15","cited_by_count":14},{"id":"2503.16822","title":"RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos","created":"2025-03-21","cited_by_count":14},{"id":"2304.08279","title":"MoDA: Modeling Deformable 3D Objects from Casual Videos","created":"2023-04-17","cited_by_count":13},{"id":"2408.08233","title":"The Z-Gromov-Wasserstein Distance","created":"2024-08-15","cited_by_count":12},{"id":"2409.20563","title":"DressRecon: Freeform 4D Human Reconstruction from Monocular Video","created":"2024-09-30","cited_by_count":12},{"id":"2412.02317","title":"HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset","created":"2024-12-03","cited_by_count":12},{"id":"2506.07489","title":"Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video","created":"2025-06-09","cited_by_count":12},{"id":"2505.20283","title":"Category-Agnostic Neural Object Rigging","created":"2025-05-26","cited_by_count":9},{"id":"2507.10437","title":"4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos","created":"2025-07-14","cited_by_count":6},{"id":"1910.08074","title":"Heterogeneous Graph Matching Networks","created":"2019-10-17","cited_by_count":5},{"id":"2602.04805","title":"Skin Tokens: A Learned Compact Representation for Unified Autoregressive Rigging","created":"2026-02-04","cited_by_count":5},{"id":"2503.20663","title":"ARMO: Autoregressive Rigging for Multi-Category Objects","created":"2025-03-26","cited_by_count":4}],"next_cursor":null}