Plug-and-Play Interpretable Responsible Text-to-Image Generation via Dual-Space Multi-facet Concept Control
Basim Azam, Naveed Akhtar
2025年份
1顶会引用
摘要
Figure 1 . Our unique plug-and-play interpretable approach simultaneously controls a range of concepts for responsible and fair image generation with text-to-image pipelines. Our method enables control over both text embedding space and latent diffusion space. Shown examples compare unfair and unsafe generation for the given prompts by the Stable Diffusion (top), along with their responsible counterparts resulting from our approach influencing the text encoder (middle) and the diffusion model (bottom). We control individual concepts for diverse/safe generation in these examples while modeling them in continuous composite responsible semantic spaces.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper1
问问它们各自怎么用它它引用的顶会 Paper25
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li 等NeurIPS 2022 · 被引用 8,965 次
- Scalable Diffusion Models with TransformersWilliam Peebles, Saining XieICCV 2023 · 被引用 5,568 次
相关 Paper
- RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I GenerationSilpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais, Serge J. Belongie 等NeurIPS 2025 · 被引用 4 次
- Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image GenerationHang Li, Chengzhi Shen, Philip Torr, Volker Tresp 等CVPR 2024
- Responsible Text-to-Image Diffusion: Interpretable and Linearly Controllable Semantics for Fair and Safe GenerationSayedmoslem Shokrolahi, Jae-Mo Kang, Il-Min KimICML 2026
- Emergence and Evolution of Interpretable Concepts in Diffusion ModelsBerk Tinaz, Zalan Fabian, Mahdi SoltanolkotabiNeurIPS 2025 · 被引用 23 次
- Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion ModelsByeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park 等NeurIPS 2025 · 被引用 8 次
