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IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models
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2026-02-04 07:01:45
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IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models Jundan Luo 1* , Duygu Ceylan 2 , Jae Shin Yoon 2 , Nanxuan Zhao 2 , Julien Philip 2 , Anna Frühstück 2 , Wenbin Li 1 , Christian Richardt 3 , Tuanfeng Y. Wang 2 1 University of Bath, 2 Adobe Research, 3 Meta * Part of this work was done while the first author was an intern at Adobe. SIGGRAPH 2024 Paper Code (coming soon) Image source: 3DarcaStudio, stock.adobe.com . Abstract Reasoning about the intrinsic properties of an image, such as albedo, illumination, and surface geometry, is a long-standing problem with many applications in image editing and compositing. Existing solutions to this ill-posed problem either heavily rely on manually designed priors or learn priors from limited datasets that lack diversity. Hence, they fall short in...
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