TaplierShiru

TaplierShiru's Stars

• kaiyuyue/nxtp

  Object Recognition as Next Token Prediction (CVPR 2024 Highlight)

  Language:Python1757

• foivospar/Arc2Face

  [ECCV 2024 Oral🔥] Arc2Face: A Foundation Model for ID-Consistent Human Faces

  Language:Python67447

• thu-ml/CRM

  [ECCV 2024] Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.

  Language:Python64154

• tatsy/torchmcubes

  Marching cubes implementation for PyTorch environment.

  Language:Cuda21346

• VAST-AI-Research/TripoSR

  TripoSR: Fast 3D Object Reconstruction from a Single Image

  Language:Python5.2k610

• caizhongang/SMPLer-X

  Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"

  Language:Python1.1k76

• nv-tlabs/LION

  Latent Point Diffusion Models for 3D Shape Generation

  Language:Python79362

• facebookresearch/co3d

  Tooling for the Common Objects In 3D dataset.

  Language:Python1k78

• naver/multi-hmr

  Pytorch demo code and models for Multi-HMR

  Language:Python32229

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python9.2k1.5k

• yccyenchicheng/AutoSDF

  Language:Jupyter Notebook24329

• colorful-liyu/3DQD

  [CVPR'23] Official PyTorch implementation of 3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

  Language:C++798

• microsoft/singleshotpose

  This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

  Language:Python742214

• FENGGENYU/CAPRI-Net

  Code for CAPRI-Net

  Language:Python505

• wbhu/Tri-MipRF

  Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, ICCV'23 (Oral, Best Paper Finalist)

  Language:Python45414

• Kai-46/IRON

  Inverse rendering by optimizing neural SDF and materials from photometric images

  Language:Python30324

• brain-research/self-attention-gan

  Language:Python1k176

• heykeetae/Self-Attention-GAN

  Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

  Language:Python2.6k479

• ajbrock/BigGAN-PyTorch

  The author's officially unofficial PyTorch BigGAN implementation.

  Language:Python2.9k482

• open-mmlab/mmgeneration

  MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

  Language:Python2k232

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.5k506

• openai/guided-diffusion

  Language:Python6.7k853

• LiheYoung/Depth-Anything

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

  Language:Python7.4k564

• xxlong0/SparseNeuS

  SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse views

  Language:Python33816

• chungmin99/garfield

  [CVPR'24] Group Anything with Radiance Fields

  Language:Python40934

• mshukor/UnIVAL

  [TMLR23] Official implementation of UnIVAL: Unified Model for Image, Video, Audio and Language Tasks.

  Language:Jupyter Notebook22622

• yiqun-wang/PET-NeuS

  PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)

  Language:Python2725

• ActiveVisionLab/nope-nerf

  (CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

  Language:Python39632

• yiqun-wang/HFS

  HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)

  Language:Python2239

• alexzhou907/PVD

  Language:Python27247