wangjun9276

wangjun9276's Stars

• WalBouss/GEM

  [CVPR24] Official Implementation of GEM (Grounding Everything Module)

  Language:Python995

• chenhsuanlin/inverse-compositional-STN

  Inverse Compositional Spatial Transformer Networks :performing_arts: (CVPR 2017 oral)

  Language:Python31963

• aicaffeinelife/Pytorch-STN

  Spatial Transformer Networks in Pytorch.

  Language:Python15635

• AlexHex7/Spatial-Transformer-Networks_pytorch

  Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.

  Language:Python9120

• kcnishan/Perspective_Transformation_Layer

  Code and experiments for perspective transformation Layer

  Language:Jupyter Notebook5

• Ouxiang-Li/SAFE

  [KDD2025] Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective

  Language:Python16

• cswry/OSEDiff

  [NeurlPS2024] One-Step Effective Diffusion Network for Real-World Image Super-Resolution

  Language:Python27221

• nctu-eva-lab/AntifakePrompt

  This is the official implementation of AntifakePrompt.

  Language:Jupyter Notebook271

• xiaoshutongly/clip-lora

  Language:Python161

• Baijiong-Lin/LoRA-Torch

  PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention)

  Language:Python473

• jaisidhsingh/LoRA-CLIP

  Easy wrapper for inserting LoRA layers in CLIP.

  Language:Python182

• MaxZanella/CLIP-LoRA

  An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].

  Language:Python12814

• awilliamson10/clipora

  Clipora is a powerful toolkit for fine-tuning OpenCLIP models using Low Rank Adapters (LoRA).

  Language:Python191

• chuangchuangtan/C2P-CLIP-DeepfakeDetection

  C2P-CLIP-DeepfakeDetection

  Language:Python191

• dvirsamuel/NewtonRaphsonInversion

  Language:Jupyter Notebook132

• JinhaoLee/WCA

  [ICML 2024] Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models

  Language:Python122

• zer0int/CLIP-fine-tune

  Fine-tuning code for CLIP models

  Language:Python1868

• NVlabs/MambaVision

  Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

  Language:Python86342

• Coobiw/IP-IQA

  [ICME2024, Official Code] for paper "Bringing Textual Prompt to AI-Generated Image Quality Assessment"

  Language:Python15

• IceClear/CLIP-IQA

  [AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images

  Language:Python35420

• Michel-liu/FatFormer

  [CVPR 2024] The official repo for Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

  Language:Python723

• showlab/Awesome-Video-Diffusion

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

  3.7k209

• lixinustc/Awesome-diffusion-model-for-image-processing

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

  67953

• ChunmingHe/awesome-diffusion-models-in-low-level-vision

  3266

• fallenshock/SinDDM

  Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"

  Language:Python11414

• Mamadou-Keita/VLM-DETECT

  [ICASSP 2024] The official repo for Harnessing the Power of Large Vision Language Models for Synthetic Image Detection

  Language:Python192

• sfimediafutures/CLIPping-the-Deception

  Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".

  Language:Python527

• zituitui/BELM

  [NeurIPS 2024] Official implementation of "BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models".

  Language:Python984

• hunto/LocalMamba

  Code for paper LocalMamba: Visual State Space Model with Windowed Selective Scan

  Language:Python21713

• Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models

  Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models

  Language:Python19316