activity
20182020
most citedSingle Image Portrait Relighting

274 citations · 274 across the 1 of their papers we have counts for

collaborators

7 papers

cs.GR2020

Light Stage Super-Resolution: Continuous High-Frequency Relighting

Tiancheng Sun, Zexiang Xu, Xiuming Zhang +6

The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces. By capturing the appearance of the human subj…

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.GR2019274 cited

Single Image Portrait Relighting

Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai +7

Lighting plays a central role in conveying the essence and depth of the subject in a portrait photograph. Professional photographers will carefully control the lighting in their st…

cs.CV2018

LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering

Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang +14

Motivated by augmented and virtual reality applications such as telepresence, there has been a recent focus in real-time performance capture of humans under motion. However, given…

cs.CV2018

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction

Sameh Khamis, Sean Fanello, Christoph Rhemann +3

This paper presents StereoNet, the first end-to-end deep architecture for real-time stereo matching that runs at 60 fps on an NVidia Titan X, producing high-quality, edge-preserved…