A latent text-to-image diffusion model

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

code and trained models for "Attentional Feature Fusion"

Implementation for for "L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors"

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

利用HuggingFace的官方下载工具从镜像网站进行高速下载。

Deep learning software for colorizing black and white images with a few clicks.

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

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

Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]

VisionLLM Series

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

Open-Set Grounded Text-to-Image Generation

Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS 2023 Spotlight)

Latent-based SR using MoE and frequency augmented VAE decoder

ShadowDiffusion (CVPR2023), Pytorch implementation

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

[ECCV2024] Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

Official PyTorch implementation of "iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer." (WACV 2023)

Official code for AAAI 2022 paper "L-CoDe: Language-based Colorization Using Color-object Decoupled Conditions"