microsoft / VQ-DiffusionLinks
Official implementation of VQ-Diffusion
☆971Updated last year
Alternatives and similar repositories for VQ-Diffusion
Users that are interested in VQ-Diffusion are comparing it to the libraries listed below
Sorting:
- Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch☆919Updated last year
- Official Jax Implementation of MaskGIT☆545Updated 3 years ago
- PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations☆1,143Updated 2 years ago
- Official implementation of Cold-Diffusion for different transformations in pytorch.☆1,113Updated 3 years ago
- ☆480Updated 3 years ago
- Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch☆1,361Updated last year
- Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch☆537Updated 2 years ago
- [CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models☆865Updated 2 years ago
- Official implementation of Diffusion Autoencoders☆953Updated last year
- v objective diffusion inference code for PyTorch.☆717Updated 3 years ago
- Pytorch implementation of MaskGIT: Masked Generative Image Transformer (https://arxiv.org/pdf/2202.04200.pdf)☆464Updated 2 years ago
- [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets☆989Updated last year
- Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804☆752Updated 3 years ago
- A concise but complete implementation of CLIP with various experimental improvements from recent papers☆719Updated 2 years ago
- High-fidelity performance metrics for generative models in PyTorch☆1,157Updated last month
- The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)☆979Updated last year
- PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]☆1,127Updated 4 months ago
- PyTorch reimplementation of Diffusion Models☆577Updated 2 years ago
- An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch☆319Updated 8 months ago
- [ICCV 2023] A latent space for stochastic diffusion models☆648Updated last year
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,865Updated last year
- Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)☆869Updated 2 years ago
- Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)☆542Updated last year
- The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM, PLMS | ICLR2022)☆348Updated 2 years ago
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆858Updated 3 years ago
- Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)☆1,796Updated last year
- Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]☆582Updated last year
- Implementation of Denoising Diffusion Probabilistic Models in PyTorch☆392Updated 3 years ago
- ☆1,062Updated last year
- Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch☆791Updated last year