Search Results for author: David Shustin

Found 2 papers, 1 papers with code

Neural Spline Fields for Burst Image Fusion and Layer Separation

no code implementations21 Dec 2023 Ilya Chugunov, David Shustin, Ruyu Yan, Chenyang Lei, Felix Heide

Each photo in an image burst can be considered a sample of a complex 3D scene: the product of parallax, diffuse and specular materials, scene motion, and illuminant variation.

Shadow Removal

Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning

1 code implementation19 Jun 2023 Michael Tang, David Shustin

Can the latent spaces of modern generative neural rendering models serve as representations for 3D-aware discriminative visual understanding tasks?

Metric Learning Neural Rendering +1

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