ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation
Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez
2024年份
12顶会引用
摘要
Figure 1. ElasticDiffusion generates high quality images at arbitrary sizes using a pretrained diffusion model trained on a single image size, with equivalent memory footprint and no further training. These results are based on Stable Diffusion1.4, which was trained to generate 512 × 512 images. The examples shown in this collage are presented without any image cropping, stretching, or post-processing.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,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 Paper12
- DyPE: Dynamic Position Extrapolation for Ultra High Resolution DiffusionNoam Issachar, Guy Yariv, Sagie Benaim, Yossi Adi 等ICML 2026 · 被引用 14 次
- UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect RatiosTian Ye, Song Fei, Lei ZhuCVPR 2026 · 被引用 9 次
- FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale FusionHaonan Qiu, Shiwei Zhang, Yujie Wei, Ruihang Chu 等ICCV 2025 · 被引用 5 次
- Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate IntegrationYunghee Lee, Byeonghyun Pak, Junwha Hong, Hoseong KimNeurIPS 2025 · 被引用 4 次
- ResAdapter: Domain Consistent Resolution Adapter for Diffusion ModelsJiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li 等AAAI 2025 · 被引用 3 次
它引用的顶会 Paper34
- 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
- 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
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
相关 Paper
- Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD ImagesQingping Zheng, Yuanfan Guo, Jiankang Deng, Jianhua Han 等AAAI 2024 · 被引用 43 次
- Patched Denoising Diffusion Models For High-Resolution Image SynthesisZheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen TuICLR 2024 · 被引用 55 次
- Arbitrary-Scale Image Generation and Upsampling Using Latent Diffusion Model and Implicit Neural DecoderJinseok Kim, Tae-Kyun KimCVPR 2024
- Diffusion Model is Effectively Its Own TeacherXinyin Ma, Runpeng Yu, Songhua Liu, Gongfan Fang 等CVPR 2025
- Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion ModelsGowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping 等CVPR 2023
