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[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

A modified reimplemented in pytorch of inpainting model in Free-Form Image Inpainting with Gated Convolution [http://jiahuiyu.com/deepfill2/]

Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)

Pytorch code to construct a 3D point cloud model from single RGB image.

Official PyTorch implementation for the paper "AnimateZero: Video Diffusion Models are Zero-Shot Image Animators"

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".