剑桥雅思

This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

Code for DesignEdit

Stable Diffusion web UI

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

GLIDE: a diffusion-based text-conditional image synthesis model

Official Pytorch Implementation for “Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation” (CVPR 2023)

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

Diffusion Model-Based Image Editing: A Survey (arXiv)

InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions

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

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

Official implementation of AnimateDiff.

WebUI extension for ControlNet

NUDT硕士博士毕业论文latex模板

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

Official Pytorch Implementation of Paper "A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties"

[CVPR 2024] The official implementation for "MS-DETR: Efficient DETR Training with Mixed Supervision"

Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".

This is the official code release for our work, Denoising Vision Transformers.

Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.

ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning

Copy-paste augmentation in detectron2 pipeline

[CVPR 2024] Exploiting Diffusion Prior for Generalizable Dense Prediction

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

[CVPR2024] Official Pytorch Implementation of SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation.

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)