xiezhy6

xiezhy6's Stars

• VITA-Group/Diffusion4D

  "Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models", Hanwen Liang*, Yuyang Yin*, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei

  Language:Python1532

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python18k1.9k

• alibaba-yuanjing-aigclab/GeoLRM

  Geometry-Aware Large Reconstruction Model for Efficient and High-Quality 3D Generation

  Language:Python703

• humansplat/humansplat.github.io

  Language:JavaScript11

• AiuniAI/Unique3D

  Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

  Language:Python2.1k141

• ali-vilab/UniAnimate

  Code for Paper "UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation".

  Language:Python55834

• levihsu/OOTDiffusion

  Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

  Language:Python5.1k743

• GaussianCube/GaussianCube

  GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

  Language:Python25912

• zeng-yifei/AvatarBooth

  Official implementation of “AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation”

  Language:Python44

• hwjiang1510/Real3D

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

  Language:Python107

• pengHTYX/Era3D

  Language:Python43219

• hbb1/2d-gaussian-splatting

  [SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

  Language:Python1.6k79

• fudan-generative-vision/champ

  Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

  Language:Python3.4k407

• jmhessel/clipscore

  CLIPScore EMNLP code

  Language:Python17422

• statho/ScoreHMR

  ScoreHMR: Score-Guided Diffusion for 3D Human Recovery (CVPR 2024)

  Language:Python36724

• xiezhy6/B2A-HDM

  Official Implementation for AAAI2024 paper "Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model"

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• dreamgaussian/dreamgaussian

  [ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

  Language:Python3.8k331

• GAP-LAB-CUHK-SZ/REC-MV

  REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos (CVPR2023)

  Language:Python2839

• River-Zhang/SIFU

  [CVPR 2024 Highlight] Official repository for paper "SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction"

  Language:Python1596

• heheyas/V3D

  V3D: Video Diffusion Models are Effective 3D Generators

  Language:Python42213

• xhuangcv/humannorm

  CVPR 2024: The official implementation of HumanNorm

  Language:Python1636

• initialneil/SplattingAvatar

  [CVPR2024] Official implementation of SplattingAvatar.

  Language:Python33832

• zhaofang0627/AnchorUDF

  Language:Python609

• ShineChen1024/MagicClothing

  Official implementation of Magic Clothing: Controllable Garment-Driven Image Synthesis

  Language:Python1.2k121

• JanaldoChen/Anim-NeRF

  Language:Python23522

• tijiang13/InstantAvatar

  Language:Python33323

• GaussianObject/GaussianObject

  Code for "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"

  Language:Python72946

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.5k1.3k

• 3DTopia/LGM

  LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

  Language:Python1.4k92

• snuvclab/gala

  Language:Python14412