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The official implementation of CVPR'25 Oral paper "Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise"
Code for "High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting"
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Awesome collection of resources and papers on Diffusion Models for Robotic Manipulation.
This repository summarizes recent advances in the VLA + RL paradigm and provides a taxonomic classification of relevant works.
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
[Lumina Embodied AI] 具身智能技术指南 Embodied-AI-Guide
A large-scale benchmark and learning environment.
[NeurIPS 2025] Official implementation of the paper "Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting."
Deformable visual odometry for stereo endoscopic videos
[MICCAI 2024] Official code implementation for paper: Deform3DGS
[MICCAI'25 Oral] Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
Scikit-learn compatible decision trees beyond those offered in scikit-learn
ICRA 2025: Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping
[CVPR 2025 - Spotlight] Official PyTorch implementation of MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views
Official implementation of "Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals" (NeurIPS 2025)
[CVPR 2025 Highlight] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
Fast Corrects for fisheye distortion in an image.
[CVPR'25] 4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
[NeurIPS 2025 Spotlight🔥] Official Implementation of "Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery"
Instead of removing dynamic objects as distractors and reconstructing only static environments, this paper proposes an efficient architecture that incrementally tracks camera poses and establishes …