[RAL24] SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM

[RA-L] FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

[CoRL 2024] OrbitGrasp: SE(3)-Equivariant Grasp Learning

This is the repo of "Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning"

The official GitHub repository for the ICRA'24 paper Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors.

Implementation of applying neural style transfer on 3D Gaussian Splatting from style images.

DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding

FaceLift: Single Image to 3D Head with View Generation and GS-LRM

Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".

IRGS: Inter-Reflective Gaussian Splatting with 2D Gaussian Ray Tracing

Official repo and evaluation implementation of VSI-Bench

Code for "EnvGS: Modeling View-Dependent Appearance with Environment Gaussian", arXiv 2024

The official implementation of the paper of CVPR2024: Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model

This is the official implementation of the paper "Leveraging SE(3)-Equivariance for Learning 3D Geometric Shape Assembly" (ICCV 2023)

This is a PyTorch-based reimplementation of CrossFlow, as proposed in 'Flowing from Words to Pixels: A Framework for Cross-Modality Evolution'

FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction

Zero-Shot Monocular Depth Completion with Guided Diffusion

Prompt Depth Anything

Learning in infinite dimension with neural operators.

A generative world for general-purpose robotics & embodied AI learning.

E(2)-Equivariant CNNs Library for Pytorch

[NeurIPS'W 2024] Official Repository for the paper "MovieCORE: COgnitive REasoning in Movies"

Build datasets using natural language

Code for FreeScale, a tuning-free method for higher-resolution visual generation

DN-Splatter + AGS-Mesh: Depth and Normal Priors for Gaussian Splatting