[ECCV 2024] Official implementation of the paper "GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views"

A curated list of Diffusion Model in RL resources (continually updated)

[NeurIPS 2024 Spotlight] Motion Forecasting in Continuous Driving

[ICLR 2025] GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting

DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

A CUDA Mesh RayTracer with BVH acceleration, with python bindings and a GUI.

Uncommon Objects in 3D dataset

Using message app/bot to notify you when doing time-consuming tasks. Bake your experiments!

[NeurIPS 2024] Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

[ICLR 2024] FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

[ECCV 2024] Improving 2D Feature Representations by 3D-Aware Fine-Tuning

SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving

[ICLR 2025] Diffusion²: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models

Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving

A unified framework for 3D content generation.

(ICLR2024) This is the official PyTorch implementation of ICLR2024 paper: Text-to-3D with Classifier Score Distillation

Pytorch implementation for "DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes"

投资组合的智能助手，融合多种语言模型

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

3D Gaussian Ray Tracer

[NeurIPS 2024] SCube: Instant Large-Scale Scene Reconstruction using VoxSplats

[NeurIPS 2022] Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Condition.

[ICML 2023] Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.

[AISTATS 2024] An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.

Improved Implementation of "Can Forward Gradient Match Backpropagation?" (ICML, 2023)