hamidkazemi22 / CLIPInversionLinks
What do we learn from inverting CLIP models?
☆57Updated last year
Alternatives and similar repositories for CLIPInversion
Users that are interested in CLIPInversion are comparing it to the libraries listed below
Sorting:
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆35Updated last year
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆114Updated 2 years ago
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆77Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆108Updated 2 years ago
- A simple and efficient baseline for data attribution☆11Updated 2 years ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆149Updated 6 months ago
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆42Updated last year
- ☆24Updated last year
- [SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk☆15Updated 9 months ago
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆78Updated 2 years ago
- [TMLR 2025] On Memorization in Diffusion Models