Synthesizing Environment-Specific People in Photographs
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Abstract (arXiv)
We present ESP, a novel method for context-aware full-body generation, that enables photo-realistic synthesis and inpainting of people wearing clothing that is semantically appropriate for the scene depicted in an input photograph. ESP is conditioned on a 2D pose and contextual cues that are extracted from the photograph of the scene and integrated into the generation process, where the clothing is modeled explicitly with human parsing masks (HPM). Generated HPMs are used as tight guiding masks for inpainting, such that no changes are made to the original background. Our models are trained on a dataset containing a set of in-the-wild photographs of people covering a wide range of different environments. The method is analyzed quantitatively and qualitatively, and we show that ESP outperforms the state-of-the-art on the task of contextual full-body generation.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 45 of its 58 references that are in the map. First posted on arXiv 22 Dec 2023.
Builds on
45 of 58 references.
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Built on by
Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
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- 2024Are Pose Estimators Ready for the Open World? STAGE: A GenAI Toolkit for Auditing 3D Human Pose Estimatorscited by 1
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