SceneComposer: Any-Level Semantic Image Synthesis
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
2023年份
12顶会引用
摘要
Adobe Research (a) (b) (c) (d) (e) Figure 1. Examples of image synthesis from any-level semantic layouts. (a) The coarsest layout, i.e. at the 0-th precision level, is equivalent to a text input; (d) the finest layout, i.e. at the highest level, is close to an accurate segmentation map; (a)-(d) intermediate level layouts (from coarse to fine), the shape control becomes tighter with increasing levels. (e) We can specify different precision levels for different components, e.g. to include a 0-th level style indicator while the remaining regions are of higher levels.
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引用它的顶会 Paper12
- A-STAR: Test-time Attention Segregation and Retention for Text-to-image SynthesisAishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena 等ICCV 2023 · 被引用 77 次
- PHOTOSWAP: Personalized Subject Swapping in ImagesJing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu 等NeurIPS 2023 · 被引用 58 次
- Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image SynthesisQiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui 等ICCV 2023 · 被引用 55 次
- Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3DKarran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy 等CVPR 2024 · 被引用 19 次
- Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image SynthesisJonghyun Lee, Hansam Cho, Young Joon Yoo, Seoung Bum Kim 等ICLR 2024 · 被引用 12 次
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
- 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
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