{"total":29,"rows":[{"id":"2604.02908","title":"SentiAvatar: Towards Expressive and Interactive Digital Humans","created":"2026-04-03","cited_by_count":4,"area":null},{"id":"2608.01410","title":"GenTrack: Physical Alignment for Robot-Native Motion Generation and Zero-Shot Humanoid Tracking","created":"2026-08-02","cited_by_count":2,"area":null},{"id":"2604.13427","title":"A Unified Conditional Flow for Motion Generation, Editing, and Intra-Structural Retargeting","created":"2026-04-15","cited_by_count":1,"area":null},{"id":"2605.14731","title":"UMo: Unified Sparse Motion Modeling for Real-Time Co-Speech Avatars","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2605.26006","title":"MIND: Multi-Scale Intent Diffusion for Text-Driven Physics-Based Humanoid Control","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2605.29488","title":"AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2609.01899","title":"TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views","created":"2026-09-01","cited_by_count":1,"area":null},{"id":"2609.05415","title":"UniMate: One Unified Model to Animate Diverse Skeletons","created":"2026-09-04","cited_by_count":1,"area":null},{"id":"2609.16683","title":"Weave: Learning Whole-Body Dexterous Loco-Manipulation from Human-Object Interactions","created":"2026-09-15","cited_by_count":1,"area":null},{"id":"2604.18648","title":"DanceCrafter: Fine-Grained Text-Driven Controllable Dance Generation via Choreographic Syntax","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.14716","title":"SCAMP: Sparse-anchor Control is One Small Projection","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.15497","title":"AnyAct: Towards Human Reenactment of Character Motion From Video","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.29906","title":"Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.05162","title":"Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.09390","title":"Real-time body pose non-verbal communication with a consistency-based reliability measure","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2607.15717","title":"Per-Stroke Temporal Control for Text-to-Motion via Action Units and Action-Detection Guidance","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2607.17639","title":"Direct Clinical Joint Angle Extraction from Parametric Body Model Rotation Matrices","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2607.22702","title":"MIME: Multimodal Interactive Motion Encoder","created":"2026-07-18","cited_by_count":0,"area":null},{"id":"2607.26108","title":"Two2Four: Generative Quadruped Puppeteering from Human Motion","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2607.27865","title":"Learning to Understand Body Language from Flight through Robust 3D Avatar Placing","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2608.18184","title":"Human-Centric Intelligence in the Era of Foundation Models: A Survey","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2609.22691","title":"Generative Embodied Multiple Behavior Control Systems for Human-like Agents","created":"2026-09-19","cited_by_count":0,"area":null},{"id":"2609.26420","title":"Sample, Simulate, Select: Physics-in-the-Loop Text-to-Motion for Humanoids Without Training","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.33167","title":"FloodDiffusion 2: Efficient and Path Controllable Streaming Motion Generation","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.37229","title":"AESOP: Asymmetric Human-Camera Generation with Translation-Intensity Control","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.02867","title":"TACD: Distilling Efficient Text-to-Motion Models via Terminal Amplification Control","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.03691","title":"FlowHMR: Physically Plausible Motion Capture from Video","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.12316","title":"Controllable Exaggeration for Generative Motion Models via Training-Time Adaptation and Inference-Time Guidance","created":"2026-10-08","cited_by_count":0,"area":null},{"id":"2610.12467","title":"CSF: Contextual Safety Filtering for Motion Generators","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}