blandocs

blandocs's Stars

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python150k1.1k7.8k27.9k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook49.3k3136885.8k

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python40.5k4523215.2k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31.8k2225642.8k

• huggingface/diffusers

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

  Language:Python28.1k2124.6k5.8k

• openai/shap-e

  Generate 3D objects conditioned on text or images

  Language:Python11.8k234121981

• AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin

  A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using either Automatic or ComfyUI as a backend.

  Language:TypeScript7k77374516

• threestudio-project/threestudio

  A unified framework for 3D content generation.

  Language:Jupyter Notebook6.6k77338513

• rinongal/textual_inversion

  Language:Jupyter Notebook3k54160286

• junshutang/Make-It-3D

  [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

  Language:Python1.8k1310126

• thu-ml/prolificdreamer

  ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

  Language:Python1.5k1082745

• CoinCheung/BiSeNet

  Add bisenetv2. My implementation of BiSeNet

  Language:Python1.5k16311319

• kakaobrain/nerf-factory

  An awesome PyTorch NeRF library

  Language:Python1.3k3045106

• google/dynibar

  Implementation of DynIBaR Neural Dynamic Image-Based Rendering (CVPR 2023)

  Language:Python811304739

• Gorilla-Lab-SCUT/Fantasia3D

  (ICCV 2023) official repository for "Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation"

  Language:Python760485241

• dome272/Paella

  Official Implementation of Paella https://arxiv.org/abs/2211.07292v2

  Language:Jupyter Notebook743162554

• cvlab-kaist/3DFuse

  Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"

  Language:Python724353542

• NVlabs/genvs

  637157010

• omniobject3d/OmniObject3D

  [ CVPR 2023 Award Candidate ] OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

  Language:Python484124613

• kwonminki/One-sentence_Diffusion_summary

  The repo for studying and sharing diffusion models.

  41119036

• inbarhub/DDPM_inversion

  Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.

  Language:Python32441315

• msaveski/www_personal

  Personal Webpage

  Language:HTML26521126

• PeterWang512/GANWarping

  Rewriting Geometric Rules of a GAN: Warp a GAN model to customized, out-of-domain shapes.

  Language:Python173548

• naver-ai/BlendNeRF

  Official pytorch implementation of BlendNeRF (ICCV 2023)

  Language:Python1491439

• gmkim-ai/Diffusion-Video-Autoencoders

  An official implementation of "Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding" (CVPR 2023) in PyTorch.

  Language:Python147447

• sunwoo76/CrossAttentionControl-stablediffusion

  Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion, the code is based on the offical StableDiffusion repository.

  Language:Jupyter Notebook81203

• phillipi/AMT_Real_vs_Fake

  Code for running real vs fake experiments on Amazon Mechanical Turk

  Language:HTML44329

• minjung-s/BallGAN

  [ICCV23] BallGAN: 3D-aware Image Synthesis with a Spherical Background

  Language:Python38521

• akatigre/multi2one

  Official Pytorch implementation of the paper Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance (accepted to ICLR 2023)

  Language:Python28211

• theHamsta/farneback3d

  Language:Python17583