SHI-Labs / Forget-Me-NotLinks
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023
☆132Updated 2 years ago
Alternatives and similar repositories for Forget-Me-Not
Users that are interested in Forget-Me-Not are comparing it to the libraries listed below
Sorting:
- Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)☆161Updated 8 months ago
- Official Implementation of Safe Latent Diffusion for Text2Image☆90Updated 2 years ago
- ☆34Updated 2 years ago
- Unified Concept Editing in Diffusion Models☆161Updated 4 months ago
- The official implementation of the paper "Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models" (ICML 2023 Wor…☆21Updated last year
- ☆65Updated 11 months ago
- Official code repo for "Editing Implicit Assumptions in Text-to-Image Diffusion Models"☆86Updated 2 years ago
- Code of the paper: Finetuning Text-to-Image Diffusion Models for Fairness☆43Updated last year
- Evaluating Data Attribution for Text-to-Image Models: a visual data attribution benchmark for evaluating and learning training image inf…☆75Updated last year
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆109Updated last year
- Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models☆176Updated last year
- ☆46Updated last year
- ☆14Updated 6 months ago
- ☆81Updated 9 months ago
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆74Updated 9 months ago
- Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV 2023)☆245Updated 2 weeks ago
- [ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models☆85Updated last year
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆76Updated last year
- Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"☆93Updated last year
- ☆111Updated 7 months ago
- ☆25Updated last year
- Unofficial implementation of paper NULL-text Inversion for Editing Real Images using Guided Diffusion Models ( https://arxiv.org/abs/2211…☆84Updated 2 years ago
- This is the official repo of the paper "Latent Guard: a Safety Framework for Text-to-image Generation"☆51Updated 10 months ago
- ☆51Updated last year
- ☆114Updated 2 years ago
- TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering☆172Updated last year
- ☆40Updated last year
- [CVPR 2024] Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation☆46Updated last year
- Official codebase for the Paper “Retrieval-Augmented Diffusion Models”☆135Updated 2 years ago
- 👀 Visual Instruction Inversion: Image Editing via Visual Prompting (NeurIPS 2023)☆91Updated last year