Search Results for author: James A. D. Gardner

Found 3 papers, 2 papers with code

RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior

1 code implementation15 Nov 2023 James A. D. Gardner, Bernhard Egger, William A. P. Smith

Training our model on a curated dataset of 1. 6K HDR environment maps of natural scenes, we compare it against traditional representations, demonstrate its applicability for an inverse rendering task and show environment map completion from partial observations.

Depth Estimation Inverse Rendering

Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior

no code implementations7 Jun 2022 James A. D. Gardner, Bernhard Egger, William A. P. Smith

Training our model on a curated dataset of 1. 6K HDR environment maps of natural scenes, we compare it against traditional representations, demonstrate its applicability for an inverse rendering task and show environment map completion from partial observations.

Inverse Rendering

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