krahets

krahets's Stars

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python143k1.1k7.7k27k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.3k7531.3k7.9k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python26.3k2014.2k5.4k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.1k3254033.3k

• afatcoder/LeetcodeTop

  汇总各大互联网公司容易考察的高频leetcode题🔥

  18.7k291642.7k

• wting/autojump

  A cd command that learns - easily navigate directories from the command line

  Language:Python16.3k173499705

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.1k26748950

• a16z-infra/ai-town

  A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

  Language:TypeScript7.7k64103712

• openai/guided-diffusion

  Language:Python6.3k141141824

• isl-org/MiDaS

  Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

  Language:Python4.5k74242631

• cvg/LightGlue

  LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

  Language:Python3.4k49108337

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.3k122133488

• cvlab-columbia/zero123

  Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

  Language:Python2.7k42126197

• qianqianwang68/omnimotion

  Language:Python2.1k12355126

• ScanNet/ScanNet

  Language:C1.8k40159348

• omerbt/TokenFlow

  Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)

  Language:Python1.6k7744137

• One-2-3-45/One-2-3-45

  [NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

  Language:Python1.6k715489

• Janspiry/Palette-Image-to-Image-Diffusion-Models

  Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

  Language:Python1.5k17101206

• ermongroup/ddim

  Denoising Diffusion Implicit Models

  Language:Python1.5k1137208

• Yujun-Shi/DragDiffusion

  [CVPR2024, Highlight] Official code for DragDiffusion

  Language:Python1.2k266888

• liuyuan-pal/SyncDreamer

  [ICLR 2024 Spotlight] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

  Language:Python908226939

• pengsongyou/openscene

  [CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

  Language:Python658199047

• NVlabs/genvs

  632156010

• MV-Dream/MVDream

  code page placeholder

  573961910

• fyu/lsun

  LSUN Dataset Documentation and Demo Code

  Language:Python5441848177

• Tangshitao/MVDiffusion

  MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, NeurIPS 2023 (spotlight)

  Language:Python503225127

• JeffreyXiang/ivid

  PyTorch implementation of the ICCV paper "3D-aware Image Generation using 2D Diffusion Models"

  Language:Python30646124

• EnVision-Research/Ref-NeuS

  Language:Python1124123

• Karbo123/RGBD-Diffusion

  RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models

  Language:Python89441

• guowei-gong/go-carol

  🍍 Gopher 的练习题库，本身是一个统计工具，可以获取自己上一次练习时间，练习了多少次。题库、题单持续更新中

  Language:Go552016