CosmicMan: A Text-to-Image Foundation Model for Humans
Shikai Li, Jianglin Fu, Kaiyuan Liu, Wentao Wang, Kwan-Yee Lin, Wayne Wu
摘要
We present CosmicMan, a text-to-image foundation model specialized for generating high-fidelity human images. Unlike current general-purpose foundation models that are stuck in the dilemma of inferior quality and text-image misalignment for humans, CosmicMan enables generating photo-realistic human images with meticulous appearance, reasonable structure, and precise text-image alignment with detailed dense descriptions. At the heart of CosmicMan's success are the new reflections and perspectives on data and models: (1) We found that data quality and a scalable data production flow are essential for the final results from trained models. Hence, we
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引用它的顶会 Paper18
- MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank ExpertsJie Zhu, Yixiong Chen, Mingyu Ding, Ping Luo 等NeurIPS 2024 · 被引用 17 次
- Where Culture Fades: Revealing the Cultural Gap in Text-to-Image GenerationChuancheng Shi, Shangze Li, Shiming Guo, Simiao Xie 等CVPR 2026 · 被引用 14 次
- PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-Aware MaskJeongho Kim, Hoiyeong Jin, Sunghyun Park, Jaegul ChooICCV 2025 · 被引用 6 次
- GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human DataWentao Wang, Hang Ye, Fangzhou Hong, Xue Yang 等NeurIPS 2025 · 被引用 6 次
- GeoRelight: Learning Joint Geometrical Relighting and Reconstruction with Flexible Multi-Modal Diffusion TransformersYuxuan Xue, Ruofan Liang, Egor Zakharov, Timur M. Bagautdinov 等CVPR 2026 · 被引用 4 次
它引用的顶会 Paper32
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
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- 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
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 被引用 6,759 次
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationJunnan Li, Dongxu Li, Caiming Xiong, Steven C. H. HoiICML 2022 · 被引用 6,549 次
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