TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision
Shaobin Zhuang, Yiwei Guo, Yanbo Ding, Kunchang Li, Xinyuan Chen, Yaohui Wang, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang
2025年份
4顶会引用
摘要
tensive experiments on three typical and popular LoRA-related tasks of diffusion models, including domain adaptation, post-pretraining, and model distillation. Our TSM achieves the state-of-theart results on all these tasks, throughout various model structures (UNet, DiT and MM-DiT) and visual data modalities (Image and Video), showing its remarkable generalization capacity.
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 Paper4
- Label-Free Cross-Task LoRA Merging with Null-Space CompressionWonyoung Lee, Wooseong Jeong, Kuk-Jin YoonCVPR 2026 · 被引用 3 次
- LaTtE-Flow: Layerwise Timestep-Expert Flow-based TransformerYing Shen, Zhiyang Xu, Jiuhai Chen, Shizhe Diao 等ICML 2026 · 被引用 1 次
- Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional AnisotropyWooseong Jeong, Wonyoung Lee, Kuk-Jin YoonCVPR 2026 · 被引用 1 次
- NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMsShuaidi Wang, Zhan Zhuang, HUANG Ruping, Yu ZhangICML 2026 · 被引用 1 次
它引用的顶会 Paper41
- 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
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 被引用 6,759 次
- Zero-Shot Text-to-Image GenerationAditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray 等ICML 2021 · 被引用 6,356 次
相关 Paper
- AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific TuningYuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang 等ICLR 2024 · 被引用 1,493 次
- LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video DiffusionYisu Zhang, Chenjie Cao, Chaohui Yu, Jianke ZhuICCV 2025 · 被引用 2 次
- MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video GenerationLudan Ruan, Yiyang Ma, Huan Yang, Huiguo He 等CVPR 2023
- Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion ModelsFarzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih PorikliICML 2025
- Magic Insert: Style-Aware Drag-And-DropNataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch 等ICCV 2025
