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James A D Gardner

3 accepted papers

2026

VENI: Variational Encoder for Natural Illumination

CVPR 2026

Inverse rendering is an ill-posed problem, but priors such as illumination priors can help simplify it. Existing work either disregards the spherical and rotation-equivariant nature of illumination environments or does not provide a well-behaved latent space. We propose a rotation-equivariant variat

Cited by 0SourcecodeScholar
2025

TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video

NeurIPS 2025poster

Humans excel at constructing panoramic mental models of their surroundings, maintaining object permanence and inferring scene structure beyond visible regions. In contrast, current artificial vision systems struggle with persistent, panoramic understanding, often processing scenes egocentrically on…

Cited by 0SourceScholar
2022

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

NeurIPS 2022accept

Inverse rendering is an ill-posed problem. Previous work has sought to resolve this by focussing on priors for object or scene shape or appearance. In this work, we instead focus on a prior for natural illuminations. Current methods rely on spherical harmonic lighting or other generic representation…

Cited by 12SourcePDFScholar