zimingzhong

zimingzhong's Stars

• geekan/HowToLiveLonger

  程序员延寿指南 | A programmer's guide to live longer

  30.6k2341292.1k

• lucidrains/DALLE2-pytorch

  Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

  Language:Python11.2k1212111.1k

• openai/DALL-E

  PyTorch package for the discrete VAE used for DALL·E.

  Language:Python10.8k229891.9k

• alembics/disco-diffusion

  Language:Jupyter Notebook7.5k117811.1k

• awesome-NeRF/awesome-NeRF

  A curated list of awesome neural radiance fields papers

  Language:TeX6.5k23619597

• rhiever/Data-Analysis-and-Machine-Learning-Projects

  Repository of teaching materials, code, and data for my data analysis and machine learning projects.

  Language:Jupyter Notebook6.1k337292.1k

• orpatashnik/StyleCLIP

  Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

  Language:HTML4k74118562

• google-research/multinerf

  A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

  Language:Python3.7k47150342

• google/prompt-to-prompt

  Language:Jupyter Notebook3.1k2584296

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k54158280

• saharmor/dalle-playground

  A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

  Language:JavaScript2.8k3296596

• kwea123/nerf_pl

  NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

  Language:Jupyter Notebook2.7k51209481

• nerdyrodent/VQGAN-CLIP

  Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

  Language:Python2.6k54120426

• Totoro97/NeuS

  Code release for NeuS

  Language:Python1.6k25133211

• ialhashim/DenseDepth

  High Quality Monocular Depth Estimation via Transfer Learning

  Language:Jupyter Notebook1.6k33205353

• awesome-stable-diffusion/awesome-stable-diffusion

  Curated list of awesome resources for the Stable Diffusion AI Model.

  1.5k411274

• kwea123/ngp_pl

  Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

  Language:Jupyter Notebook1.3k24142156

• nachifur/MulimgViewer

  MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

  Language:Python1.1k1062106

• hongfz16/AvatarCLIP

  [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

  Language:Python1.1k212094

• omerbt/Text2LIVE

  Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

  Language:Python882292280

• lucidrains/x-clip

  A concise but complete implementation of CLIP with various experimental improvements from recent papers

  Language:Python695251447

• NasirKhalid24/CLIP-Mesh

  Official implementation of CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

  Language:Python42314937

• lioryariv/volsdf

  Language:Python37232151

• VITA-Group/SinNeRF

  [ECCV 2022] "SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

  Language:Python330143326

• zju3dv/object_nerf

  Code for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021

  Language:Python314313323

• tobran/DF-GAN

  [CVPR2022 oral] A Simple and Effective Baseline for Text-to-Image Synthesis

  Language:Python30473769

• cassiePython/CLIPNeRF

  CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

  Language:Python259162015

• IGLICT/NeRF-Editing

  [CVPR 2022] Code for "NeRF-Editing: Geometry Editing of Neural Radiance Fields"

  Language:C++1885812

• hanhung/PureCLIPNeRF

  Language:Python1742088

• text2live/text2live.github.io

  Language:HTML4010