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[CVPR2023] A faster, smaller, and better text-to-image model for large-scale training
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Official repo for consistency models.
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
Convolutional neural network model for video classification trained on the Kinetics dataset.
An open source implementation of CLIP.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - fork with video pseudo3d
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
Video captioning on MSR-VTT Dataset
Research code for paper "Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis"
A collection of resources and papers on Diffusion Models
PyTorch reimplementation of Diffusion Models
Denoising Diffusion Probabilistic Models
Magnificent app which corrects your previous console command.
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
A program for inter-protein contact prediction from sequences of interacting proteins
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch