Here is a draft repo.

Some simple Blender scripts for rendering paper figures

(SIGGRAPH Asia 2024) This is the official PyTorch implementation of SIGGRAPH Asia 2024 paper: DrawingSpinUp: 3D Animation from Single Character Drawings

Graph Network Simulator

[NeurIPS 2024] DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos

Feature splatting based on INRIA GS rasterizer

[arXiv 2023] DreamGaussian4D: Generative 4D Gaussian Splatting

[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"

[arXiv'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

[CVPR 2024] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

Generative Gaussian Splatting for Efficient 3D Content Creation

A point cloud visualization repo

A PyTorch port of the Neural 3D Mesh Renderer

Official Implementation for Fast Point Cloud Generation with Straight Flows

Neural Radiance Fields from a Single Colour Event Camera [CVPR 2023]

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF etc.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Some basic examples of playing with RL

Train transformer language models with reinforcement learning.

Optical illusions using stable diffusion

Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)

Intro to Reinforcement Learning (强化学习纲要）