{"total":287,"rows":[{"id":"2503.11651","title":"VGGT: Visual Geometry Grounded Transformer","created":"2025-03-14","cited_by_count":1539,"area":null},{"id":"2308.09713","title":"Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis","created":"2023-08-18","cited_by_count":737,"area":null},{"id":"2307.07635","title":"CoTracker: It is Better to Track Together","created":"2023-07-14","cited_by_count":522,"area":null},{"id":"2409.01652","title":"ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation","created":"2024-09-03","cited_by_count":315,"area":"lr"},{"id":"2408.16061","title":"3D Reconstruction with Spatial Memory","created":"2024-08-28","cited_by_count":277,"area":null},{"id":"2407.13764","title":"Shape of Motion: 4D Reconstruction from a Single Video","created":"2024-07-18","cited_by_count":250,"area":null},{"id":"2312.04563","title":"Visual Geometry Grounded Deep Structure From Motion","created":"2023-12-07","cited_by_count":227,"area":null},{"id":"2401.00025","title":"Any-point Trajectory Modeling for Policy Learning","created":"2023-12-28","cited_by_count":215,"area":"offlinerl"},{"id":"2404.04319","title":"SpatialTracker: Tracking Any 2D Pixels in 3D Space","created":"2024-04-05","cited_by_count":181,"area":null},{"id":"2412.02700","title":"Motion Prompting: Controlling Video Generation with Motion Trajectories","created":"2024-12-03","cited_by_count":178,"area":null},{"id":"2411.18613","title":"CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models","created":"2024-11-27","cited_by_count":161,"area":"diffusion"},{"id":"2407.15208","title":"Flow as the Cross-Domain Manipulation Interface","created":"2024-07-21","cited_by_count":132,"area":null},{"id":"2502.05485","title":"HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation","created":"2025-02-08","cited_by_count":130,"area":"vla"},{"id":"2410.11831","title":"CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos","created":"2024-10-15","cited_by_count":128,"area":null},{"id":"2402.00847","title":"BootsTAP: Bootstrapped Training for Tracking-Any-Point","created":"2024-02-01","cited_by_count":120,"area":null},{"id":"2308.15975","title":"RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation","created":"2023-08-30","cited_by_count":90,"area":null},{"id":"2504.13152","title":"St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World","created":"2025-04-17","cited_by_count":89,"area":null},{"id":"2503.17973","title":"PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos","created":"2025-03-23","cited_by_count":87,"area":null},{"id":"2507.12462","title":"SpatialTrackerV2: 3D Point Tracking Made Easy","created":"2025-07-16","cited_by_count":87,"area":null},{"id":"2307.01197","title":"Segment Anything Meets Point Tracking","created":"2023-07-03","cited_by_count":81,"area":null},{"id":"2407.15420","title":"Local All-Pair Correspondence for Point Tracking","created":"2024-07-22","cited_by_count":80,"area":null},{"id":"2407.05921","title":"TAPVid-3D: A Benchmark for Tracking Any Point in 3D","created":"2024-07-08","cited_by_count":72,"area":null},{"id":"2312.02087","title":"VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence","created":"2023-12-04","cited_by_count":69,"area":"diffusion"},{"id":"2504.14717","title":"TAPIP3D: Tracking Any Point in Persistent 3D Geometry","created":"2025-04-20","cited_by_count":69,"area":null},{"id":"2410.24211","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","created":"2024-10-31","cited_by_count":65,"area":null},{"id":"2403.14548","title":"DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video","created":"2024-03-21","cited_by_count":64,"area":null},{"id":"2312.00786","title":"Dense Optical Tracking: Connecting the Dots","created":"2023-12-01","cited_by_count":61,"area":null},{"id":"2404.15259","title":"FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent","created":"2024-04-23","cited_by_count":61,"area":null},{"id":"2506.07310","title":"AllTracker: Efficient Dense Point Tracking at High Resolution","created":"2025-06-08","cited_by_count":58,"area":null},{"id":"2401.01887","title":"LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry","created":"2024-01-03","cited_by_count":56,"area":null},{"id":"2512.08924","title":"Efficiently Reconstructing Dynamic Scenes One D4RT at a Time","created":"2025-12-09","cited_by_count":54,"area":null},{"id":"2411.02319","title":"GenXD: Generating Any 3D and 4D Scenes","created":"2024-11-04","cited_by_count":50,"area":null},{"id":"2506.08015","title":"4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos","created":"2025-06-09","cited_by_count":49,"area":null},{"id":"2403.13042","title":"TAPTR: Tracking Any Point with Transformers as Detection","created":"2024-03-19","cited_by_count":45,"area":null},{"id":"2402.13181","title":"DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models","created":"2024-02-20","cited_by_count":44,"area":"offlinerl"},{"id":"2412.06016","title":"Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation","created":"2024-12-08","cited_by_count":44,"area":"diffusion"},{"id":"2410.18912","title":"Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling","created":"2024-10-24","cited_by_count":43,"area":null},{"id":"2312.00583","title":"DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation","created":"2023-11-30","cited_by_count":42,"area":null},{"id":"2501.02690","title":"GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking","created":"2025-01-05","cited_by_count":39,"area":null},{"id":"2407.12957","title":"R+X: Retrieval and Execution from Everyday Human Videos","created":"2024-07-17","cited_by_count":38,"area":null},{"id":"2504.05579","title":"TAPNext: Tracking Any Point (TAP) as Next Token Prediction","created":"2025-04-08","cited_by_count":37,"area":null},{"id":"2310.11475","title":"Tracking and Mapping in Medical Computer Vision: A Review","created":"2023-10-17","cited_by_count":36,"area":null},{"id":"2507.10065","title":"MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second","created":"2025-07-14","cited_by_count":35,"area":null},{"id":"2510.13802","title":"Trace Anything: Representing Any Video in 4D via Trajectory Fields","created":"2025-10-15","cited_by_count":33,"area":null},{"id":"2406.13870","title":"Splatter a Video: Video Gaussian Representation for Versatile Processing","created":"2024-06-19","cited_by_count":31,"area":null},{"id":"2506.17220","title":"Emergent Temporal Correspondences from Video Diffusion Transformers","created":"2025-06-20","cited_by_count":31,"area":"diffusion"},{"id":"2412.15212","title":"Scaling 4D Representations","created":"2024-12-19","cited_by_count":30,"area":null},{"id":"2411.08879","title":"4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization","created":"2024-11-13","cited_by_count":28,"area":null},{"id":"2411.16877","title":"PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence","created":"2024-11-25","cited_by_count":28,"area":null},{"id":"2310.08587","title":"Pseudo-Generalized Dynamic View Synthesis from a Video","created":"2023-10-12","cited_by_count":27,"area":null},{"id":"2504.17788","title":"Dynamic Camera Poses and Where to Find Them","created":"2025-04-24","cited_by_count":27,"area":null},{"id":"2403.19924","title":"SceneTracker: Long-term Scene Flow Estimation Network","created":"2024-03-29","cited_by_count":26,"area":null},{"id":"2312.09523","title":"DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos","created":"2023-12-15","cited_by_count":25,"area":null},{"id":"2504.05692","title":"POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction","created":"2025-04-08","cited_by_count":25,"area":null},{"id":"2407.10802","title":"Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation","created":"2024-07-15","cited_by_count":24,"area":null},{"id":"2504.14516","title":"Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction","created":"2025-04-20","cited_by_count":24,"area":null},{"id":"2405.19321","title":"DGD: Dynamic 3D Gaussians Distillation","created":"2024-05-29","cited_by_count":23,"area":null},{"id":"2512.02015","title":"Generative Video Motion Editing with 3D Point Tracks","created":"2025-12-01","cited_by_count":23,"area":null},{"id":"2403.11186","title":"NetTrack: Tracking Highly Dynamic Objects with a Net","created":"2024-03-17","cited_by_count":22,"area":null},{"id":"2504.06210","title":"HiMoR: Monocular Deformable Gaussian Reconstruction with Hierarchical Motion Representation","created":"2025-04-08","cited_by_count":22,"area":null},{"id":"2602.10094","title":"4RC: 4D Reconstruction via Conditional Querying Anytime and Anywhere","created":"2026-02-10","cited_by_count":22,"area":null},{"id":"2409.02104","title":"DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction","created":"2024-09-03","cited_by_count":20,"area":null},{"id":"2411.18650","title":"RoMo: Robust Motion Segmentation Improves Structure from Motion","created":"2024-11-27","cited_by_count":20,"area":null},{"id":"2412.06424","title":"Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video","created":"2024-12-09","cited_by_count":20,"area":null},{"id":"2503.15835","title":"BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting","created":"2025-03-20","cited_by_count":19,"area":null},{"id":"2509.01708","title":"Articulated Object Estimation in the Wild","created":"2025-09-01","cited_by_count":19,"area":null},{"id":"2407.16291","title":"TAPTRv2: Attention-based Position Update Improves Tracking Any Point","created":"2024-07-23","cited_by_count":18,"area":null},{"id":"2506.14198","title":"AMPLIFY: Actionless Motion Priors for Robot Learning from Videos","created":"2025-06-17","cited_by_count":18,"area":"wm"},{"id":"2308.10079","title":"MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance","created":"2023-08-19","cited_by_count":17,"area":"diffusion"},{"id":"2407.20730","title":"Autogenic Language Embedding for Coherent Point Tracking","created":"2024-07-30","cited_by_count":17,"area":null},{"id":"2508.21060","title":"Multi-View 3D Point Tracking","created":"2025-08-28","cited_by_count":17,"area":null},{"id":"2412.06784","title":"P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies","created":"2024-12-09","cited_by_count":16,"area":null},{"id":"2503.18033","title":"OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models","created":"2025-03-23","cited_by_count":16,"area":"diffusion"},{"id":"2501.12218","title":"Exploring Temporally-Aware Features for Point Tracking","created":"2025-01-21","cited_by_count":15,"area":null},{"id":"2501.12392","title":"Learning segmentation from point trajectories","created":"2025-01-21","cited_by_count":15,"area":null},{"id":"2506.09997","title":"DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos","created":"2025-06-11","cited_by_count":15,"area":null},{"id":"2403.17931","title":"Track Everything Everywhere Fast and Robustly","created":"2024-03-26","cited_by_count":14,"area":null},{"id":"2404.07097","title":"Fast Encoder-Based 3D from Casual Videos via Point Track Processing","created":"2024-04-10","cited_by_count":14,"area":null},{"id":"2408.13575","title":"Can Visual Foundation Models Achieve Long-term Point Tracking?","created":"2024-08-24","cited_by_count":14,"area":null},{"id":"2511.20640","title":"MotionV2V: Editing Motion in a Video","created":"2025-11-25","cited_by_count":14,"area":null},{"id":"2602.04877","title":"CoWTracker: Tracking by Warping instead of Correlation","created":"2026-02-04","cited_by_count":14,"area":null},{"id":"2501.10283","title":"GauSTAR: Gaussian Surface Tracking and Reconstruction","created":"2025-01-17","cited_by_count":13,"area":null},{"id":"2504.14687","title":"Seurat: From Moving Points to Depth","created":"2025-04-20","cited_by_count":13,"area":null},{"id":"2603.02573","title":"Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels","created":"2026-03-03","cited_by_count":13,"area":null},{"id":"2408.10739","title":"TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks","created":"2024-08-20","cited_by_count":12,"area":null},{"id":"2501.14945","title":"MATCHA:Towards Matching Anything","created":"2025-01-24","cited_by_count":12,"area":null},{"id":"2502.13078","title":"L4P: Towards Unified Low-Level 4D Vision Perception","created":"2025-02-18","cited_by_count":12,"area":null},{"id":"2504.03597","title":"Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin","created":"2025-04-04","cited_by_count":12,"area":null},{"id":"2603.19929","title":"RAM: Recover Any 3D Human Motion in-the-Wild","created":"2026-03-20","cited_by_count":12,"area":null},{"id":"2604.06168","title":"Action Images: End-to-End Policy Learning via Multiview Video Generation","created":"2026-04-07","cited_by_count":12,"area":"wm"},{"id":"2605.27817","title":"Turning Video Models into Generalist Robot Policies","created":"2026-05-27","cited_by_count":12,"area":"vla"},{"id":"2405.08587","title":"EchoTracker: Advancing Myocardial Point Tracking in Echocardiography","created":"2024-05-14","cited_by_count":11,"area":null},{"id":"2411.05927","title":"Moving Off-the-Grid: Scene-Grounded Video Representations","created":"2024-11-08","cited_by_count":11,"area":null},{"id":"2401.11202","title":"PartIR: Composing SPMD Partitioning Strategies for Machine Learning","created":"2024-01-20","cited_by_count":10,"area":null},{"id":"2401.16424","title":"Computer Vision for Primate Behavior Analysis in the Wild","created":"2024-01-29","cited_by_count":10,"area":null},{"id":"2402.05188","title":"InCoRo: In-Context Learning for Robotics Control with Feedback Loops","created":"2024-02-07","cited_by_count":10,"area":"lr"},{"id":"2407.08722","title":"Controlling diverse robots by inferring Jacobian fields with deep networks","created":"2024-07-11","cited_by_count":10,"area":null},{"id":"2407.18249","title":"Trajectory-aligned Space-time Tokens for Few-shot Action Recognition","created":"2024-07-25","cited_by_count":10,"area":null},{"id":"2409.16288","title":"Self-Supervised Any-Point Tracking by Contrastive Random Walks","created":"2024-09-24","cited_by_count":10,"area":null},{"id":"2411.19162","title":"Lost & Found: Tracking Changes from Egocentric Observations in 3D Dynamic Scene Graphs","created":"2024-11-28","cited_by_count":10,"area":null}],"next_cursor":"100"}