[CVPR 2025] Prompt Depth Anything
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Updated
Jan 29, 2026 - Python
[CVPR 2025] Prompt Depth Anything
[ICCV 2025 & ICCV 2025 RIWM Outstanding Paper] Aether: Geometric-Aware Unified World Modeling
[ICLR 2026] Trace Anything: Representing Any Video in 4D via Trajectory Fields
SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
An unified model for 4D human-scene reconstruction
SIGGRAPH Asia 2022: Code for "Efficient Neural Radiance Fields for Interactive Free-viewpoint Video"
[ICLR 2026] OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Dynamic Gaussian Mesh: Consistent Mesh Reconstruction from Monocular Videos (ICLR 2025)
[TPAMI 2025, NeurIPS 2024] Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
A framework for 4D reconstruction from monocular videos.
🏂 Training-Free Human Mesh Recovery from Videos, based on SAM-3, Diffusion-VAS, and SAM-3D-Body.
SIGGRAPH Asia 2023: Code for "Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes"
[NeurIPS 2024] L4GM: Large 4D Gaussian Reconstruction Model
[ICCV 2025] Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency
🎬ActionMesh: A fast video to animated mesh model with unprecedented quality. Generate animated mesh seamlessly importable into any 3D software in less than a minute.
[CVPR 2025] Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
[ACM MM 2025] Dynamic 2D Gaussians: Geometrically Accurate Radiance Fields for Dynamic Objects
Official PyTorch implementation of QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos (NeurIPS 2024)
[ACM MM 2025] HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation
A novel 4D reconstruction method that directly generates high-quality, animation-ready 4D mesh asset (.GLB file) from a single monocular video.
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