cswbyu

cswbyu's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.8k55871110.1k

• LC044/WeChatMsg

  提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

  Language:Python33.6k1714023.5k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.6k973421.5k

• pengsida/learning_research

  本人的科研经验

  5.6k6928335

• guanyingc/latex_paper_writing_tips

  Tips for Writing a Research Paper using LaTeX

  Language:TeX2.5k240318

• atomiechen/THU-PPT-Theme

  清华主题PPT模板

  1.1k8082

• 52CV/CVPR-2023-Papers

  92416779

• DmitryRyumin/ICCV-2023-Papers

  ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

  Language:Python921131042

• ttengwang/Awesome_Prompting_Papers_in_Computer_Vision

  A curated list of prompt-based paper in computer vision and vision-language learning.

  89235670

• ziqihuangg/Collaborative-Diffusion

  [CVPR 2023] Collaborative Diffusion

  Language:Python39594031

• google-research/lm-extraction-benchmark

  Language:Python270141219

• ffhibnese/Model-Inversion-Attack-ToolBox

  A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

  Language:Python119225

• ylhz/Adversarial_Attacks_and_Defense_NeurIPS2022

  A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.

  68104

• zhtjtcz/Mine-Arxiv

  Language:Python50206

• zyh16143998882/AAAI24-PointFEMAE

  The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).

  Language:Python30162

• ffhibnese/GIFD_Gradient_Inversion_Attack

  [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.

  Language:Python29222

• ffhibnese/CGNC_Targeted_Adversarial_Attacks

  [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks

  Language:Python18320

• final-solution/IF-GMI

  [ECCV-2024 oral]Source code for our paper "A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks"

  Language:Python13301

• ffhibnese/Visualization_Code

  Python code for ploting figures, though a little bit messy.

  Language:Python4100

• ffhibnese/IF-GMI

  [ECCV-2024]Source code for our paper "A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks"

  Language:Python1000