NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou, Yi-Zhe Song
2025年份
9顶会引用
摘要
https://chendaryen.github.io/NitroFusion.github.io Figure 1. Our one-step diffusion pipeline generates vibrant and photorealistic images with exceptional detail in a single inference step, broadening the potential for text-to-image synthesis in applications like real-time interactive systems.
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引用它的顶会 Paper9
- Autoregressive Adversarial Post-Training for Real-Time Interactive Video GenerationShanchuan Lin, Ceyuan Yang, Hao He, Jianwen Jiang 等NeurIPS 2025 · 被引用 89 次
- SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-TrainingJianyi Wang, Shanchuan Lin, Zhijie Lin, Yuxi Ren 等ICLR 2026 · 被引用 51 次
- Normalized Attention Guidance: Universal Negative Guidance for Diffusion ModelsDar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou, Yi-Zhe SongNeurIPS 2025 · 被引用 17 次
- Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement LearningGuanjie Chen, Shirui Huang, Yifu Sun, Kai Liu 等CVPR 2026 · 被引用 17 次
- Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft EmbeddingsYuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky KalogeitonICLR 2026 · 被引用 4 次
它引用的顶会 Paper24
- 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
- An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleAlexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn 等ICLR 2021 · 被引用 21,477 次
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu 等ICLR 2022 · 被引用 18,833 次
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 次
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