Stars
A latent text-to-image diffusion model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
LAVIS - A One-stop Library for Language-Vision Intelligence
Code release for NeRF (Neural Radiance Fields)
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
A unified framework for 3D content generation.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Taming Transformers for High-Resolution Image Synthesis
A collection of infrastructure and tools for research in neural network interpretability.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Generate images from texts. In Russian
[ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
[ICLR'25] 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
Fully textured and animatable human body mesh reconstruction from a single image
Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
[CVPR'25] StyleMaster: Stylize Your Video with Artistic Generation and Translation
Python script to download the celebA-HQ dataset from google drive
Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.