activity
20182021
most citedSingle Image Portrait Relighting

274 citations · 300 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CV20211 cited

A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars

Loc Huynh, Bipin Kishore, Paul Debevec

We present a learning-based method for estimating 4D reflectance field of a person given video footage illuminated under a flat-lit environment of the same subject. For training da…

cs.CV2021

Baking Neural Radiance Fields for Real-Time View Synthesis

Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall +2

Neural volumetric representations such as Neural Radiance Fields (NeRF) have emerged as a compelling technique for learning to represent 3D scenes from images with the goal of rend…

cs.CV2020

Learning Illumination from Diverse Portraits

Chloe LeGendre, Wan-Chun Ma, Rohit Pandey +5

We present a learning-based technique for estimating high dynamic range (HDR), omnidirectional illumination from a single low dynamic range (LDR) portrait image captured under arbi…

cs.CV2020

Neural Light Transport for Relighting and View Synthesis

Xiuming Zhang, Sean Fanello, Yun-Ta Tsai +10

The light transport (LT) of a scene describes how it appears under different lighting and viewing directions, and complete knowledge of a scene's LT enables the synthesis of novel…

cs.CV201921 cited

DeepView: View Synthesis with Learned Gradient Descent

John Flynn, Michael Broxton, Paul Debevec +5

We present a novel approach to view synthesis using multiplane images (MPIs). Building on recent advances in learned gradient descent, our algorithm generates an MPI from a set of…

cs.CV20194 cited

DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

Chloe LeGendre, Wan-Chun Ma, Graham Fyffe +4

We present a learning-based method to infer plausible high dynamic range (HDR), omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a mobile pho…