88 citations · 183 across the 14 of their papers we have counts for
19 papers
ID2image: Leakage of non-ID information into face descriptors and inversion from descriptors to images
Mingrui Li, William A. P. Smith, Patrik Huber
Embedding a face image to a descriptor vector using a deep CNN is a widely used technique in face recognition. Via several possible training strategies, such embeddings are suppose…
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval
Finlay G. C. Hudson, William A. P. Smith
In this paper, we introduce a novel method for zero-shot, cross-domain image retrieval. Our key contribution is a test-time Iterative Cluster-free Re-ranking process that leverages…
Neural apparent BRDF fields for multiview photometric stereo
Meghna Asthana, William A. P. Smith, Patrik Huber
We propose to tackle the multiview photometric stereo problem using an extension of Neural Radiance Fields (NeRFs), conditioned on light source direction. The geometric part of our…
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
James A. D. Gardner, Bernhard Egger, William A. P. Smith
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 o…
Self-supervised Outdoor Scene Relighting
Ye Yu, Abhimitra Meka, Mohamed Elgharib +3
Outdoor scene relighting is a challenging problem that requires good understanding of the scene geometry, illumination and albedo. Current techniques are completely supervised, req…
Outdoor inverse rendering from a single image using multiview self-supervision
Ye Yu, William A. P. Smith
In this paper we show how to perform scene-level inverse rendering to recover shape, reflectance and lighting from a single, uncontrolled image using a fully convolutional neural n…