sail-sg / DiffMemorizeLinks
[TMLR 2025] On Memorization in Diffusion Models
☆27Updated 2 years ago
Alternatives and similar repositories for DiffMemorize
Users that are interested in DiffMemorize are comparing it to the libraries listed below
Sorting:
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆76Updated last year
- Code of the paper: Finetuning Text-to-Image Diffusion Models for Fairness☆44Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆33Updated last year
- ☆64Updated last year
- ☆29Updated 5 months ago
- PDM-based Purifier☆22Updated 11 months ago
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆113Updated last year
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆48Updated 11 months ago
- ☆47Updated last year
- [ICML 2025] Unlearning in Diffusion Models using Sparse Autoencoders☆39Updated 4 months ago
- The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Uns…☆83Updated 7 months ago
- Code for the paper - ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning☆19Updated last year
- [CVPR'24 Oral] Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning☆29Updated 10 months ago
- ☆13Updated 7 months ago
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆75Updated 11 months ago
- Unified Concept Editing in Diffusion Models☆164Updated this week
- ☆21Updated 2 years ago
- [CVPR 2024] Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation☆46Updated last year
- 🛡️[ICLR'2024] Toward effective protection against diffusion-based mimicry through score distillation, a.k.a SDS-Attack☆56Updated last year
- Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023☆133Updated 2 years ago
- ☆19Updated 2 years ago
- ☆35Updated 8 months ago
- ☆12Updated 10 months ago
- What do we learn from inverting CLIP models?☆55Updated last year
- Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)☆162Updated 9 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
- Official Implementation of Safe Latent Diffusion for Text2Image☆89Updated 2 years ago
- ☆43Updated last year
- ☆15Updated 6 months ago
- [ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementati…☆46Updated 10 months ago