Sep 30, 2023 · We propose a novel scheme that integrates a denoising diffusion probabilistic model pre-trained on natural illumination maps into an optimization framework.
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering
vcai.mpi-inf.mpg.de › 2023-DPE
We propose a scheme that integrates a natural illumination diffusion model into an inverse rendering framework, allowing sampling of realistic illumination and ...
Differentiable Renderer Plug-in. If you want to generate natural environment maps with another differentiable rendering method instead of Mitsuba3, it's easy.
Dec 5, 2023 · We propose a novel scheme that integrates a denoising diffusion probabilistic model pre-trained on natural illumination maps into an optimization framework.
View recent discussion. Abstract: Inverse rendering, the process of inferring scene properties from images, is a challenging inverse problem.
Our method excels in recovering materials and producing highly realistic and diverse environment map samples that faithfully explain the illumination of the ...
Inverse rendering, the process of inferring scene properties from images, is a challenging inverse problem. The task is ill-posed, as many different scene ...
Jan 13, 2024 · Bibliographic details on Diffusion Posterior Illumination for Ambiguity-Aware Inverse Rendering.
Oct 18, 2023 · Bibliographic details on Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering.
Diffusion Posterior Illumination for Ambiguity-Aware Inverse Rendering · ISSN: 07300301 · DOI: 10.1145/3618357 · Publisher: ASSOCIATION FOR COMPUTING MACHINERY,; ...