moonsliu

moonsliu's Stars

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.2k35210363

• jbhuang0604/awesome-tips

  3.5k994196

• AiuniAI/Unique3D

  [NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

  Language:Python3.2k41116252

• hustvl/4DGaussians

  [CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

  Language:Jupyter Notebook2.3k32196196

• cambrian-mllm/cambrian

  Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

  Language:Python1.8k2371118

• Awesome3DGS/3D-Gaussian-Splatting-Papers

  3D高斯论文，持续更新，欢迎交流讨论。

  Language:Python1.4k49148

• shubham-goel/4D-Humans

  4DHumans: Reconstructing and Tracking Humans with Transformers

  Language:Python1.3k23152121

• CLAY-3D/OpenCLAY

  CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

  857111011

• yohanshin/WHAM

  Language:Python7433110784

• NVlabs/edm2

  EDM2 and Autoguidance -- Official PyTorch implementation

  Language:Python589131125

• pengHTYX/Era3D

  Language:Python565115025

• wyysf-98/CraftsMan

  CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner

  Language:Python435193023

• nv-tlabs/XCube

  [CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies

  Language:Python388123825

• yikaiw/Vidu4D

  [NeurIPS 2024] Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels

  Language:Python3392415

• MC-E/ReVideo

  NeurIPS 2024

  Language:Python33625911

• brjathu/PHALP

  Code repository for the paper "Tracking People by Predicting 3D Appearance, Location & Pose". (CVPR 2022 Oral)

  Language:Python294104352

• IDEA-Research/MotionLLM

  [Arxiv-2024] MotionLLM: Understanding Human Behaviors from Human Motions and Videos

  Language:Python2704139

• cwchenwang/awesome-4d-generation

  List of papers on 4D Generation.

  207822

• liuff19/Physics3D

  Official implementation of Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

  Language:Python163447

• hwjiang1510/Real3D

  Code for "Real3D: Scaling Up Large Reconstruction Models with Real-World Images"

  Language:Python154893

• alibaba-yuanjing-aigclab/GeoLRM

  [NeurIPS 2024] Geometry-Aware Large Reconstruction Model for Efficient and High-Quality 3D Generation

  Language:Python147566

• WEIRDLabUW/urdformer

  code release for URDFormer

  Language:Python141588

• desaixie/zeroverse

  Official code for NeurIPS 2024 paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data

  Language:Python135717

• jnnan/trumans_utils

  Repository of TRUMANS

  Language:Python1274306

• zjy526223908/DreamEditor

  Official code for DreamEditor: Text-Driven 3D Scene Editing with Neural Fields (Siggraph Asia 2023)

  Language:Python1225114

• UT-Austin-RPL/Ditto

  Code for Ditto: Building Digital Twins of Articulated Objects from Interaction

  Language:Jupyter Notebook11341417

• ManiCM-fast/ManiCM

  ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation

  Language:Python885106

• Yxxxb/VoCo-LLaMA

  VoCo-LLaMA: This repo is the official implementation of "VoCo-LLaMA: Towards Vision Compression with Large Language Models".

  Language:Python884174

• zju3dv/text_scene_motion

  [CVPR 2024] Generating Human Motion in 3D Scenes from Text Descriptions

  Language:Python59961

• ChaoyueSong/REACTO

  [CVPR 2024] REACTO: Reconstructing Articulated Objects from a Single Video

  49320