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20162023
most citedDeep Bilateral Learning for Real-Time Image Enhancement

832 citations · 1.3k across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.GR2022

Differentiable Rendering of Neural SDFs through Reparameterization

Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li +7

We present a method to automatically compute correct gradients with respect to geometric scene parameters in neural SDF renderers. Recent physically-based differentiable rendering…

cs.GR2020

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings

Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis +3

We introduce a new video synthesis task: synthesizing time lapse videos depicting how a given painting might have been created. Artists paint using unique combinations of brushes,…

cs.GR2019

Flexible SVBRDF Capture with a Multi-Image Deep Network

Valentin Deschaintre, Miika Aittala, Fredo Durand +2

Empowered by deep learning, recent methods for material capture can estimate a spatially-varying reflectance from a single photograph. Such lightweight capture is in stark contrast…

cs.GR2018

Single-Image SVBRDF Capture with a Rendering-Aware Deep Network

Valentin Deschaintre, Miika Aittala, Fredo Durand +2

Texture, highlights, and shading are some of many visual cues that allow humans to perceive material appearance in single pictures. Yet, recovering spatially-varying bi-directional…

cs.GR2017★ 832 cited

Deep Bilateral Learning for Real-Time Image Enhancement

Michaël Gharbi, Jiawen Chen, Jonathan T. Barron +2

Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements an…

cs.GR2016

Inverse Diffusion Curves using Shape Optimization

Shuang Zhao, Fredo Durand, Changxi Zheng

The inverse diffusion curve problem focuses on automatic creation of diffusion curve images that resemble user provided color fields. This problem is challenging since the 1D curve…