- San Francisco, CA
- richzhang.github.io
- @rzhang88
Stars
Evaluating Data Attribution for Text-to-Image Models: a visual data attribution benchmark for evaluating and learning training image influences.
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]
Domain Expansion of Image Generators - CVPR23
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433
A latent text-to-image diffusion model
Rewriting Geometric Rules of a GAN: Warp a GAN model to customized, out-of-domain shapes.
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions (SIGGRAPH 2022 - Journal Track)
Official PyTorch implementation of BlobGAN: Spatially Disentangled Scene Representations
High-Resolution Image Synthesis with Latent Diffusion Models
Painterly Rendering from SIGGRAPH 98 paper (Java version)
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)
Official PyTorch implementation of StyleGAN3
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
A collection of pre-trained StyleGAN 2 models to download
A curated list of awesome self-supervised methods
Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch
Invert and perturb GAN images for test-time ensembling
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]