Jay Busch
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View article: GANtlitz: Ultra High Resolution Generative Model for Multi‐Modal Face Textures
GANtlitz: Ultra High Resolution Generative Model for Multi‐Modal Face Textures Open
High‐resolution texture maps are essential to render photoreal digital humans for visual effects or to generate data for machine learning. The acquisition of high resolution assets at scale is cumbersome, it involves enrolling a large numb…
View article: Learning Illumination from Diverse Portraits
Learning Illumination from Diverse Portraits Open
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 arbitrary indoor or outdoor lighting conditions. We train our m…
View article: Immersive light field video with a layered mesh representation
Immersive light field video with a layered mesh representation Open
We present a system for capturing, reconstructing, compressing, and rendering high quality immersive light field video. We accomplish this by leveraging the recently introduced DeepView view interpolation algorithm, replacing its underlyin…
View article: The relightables
The relightables Open
We present "The Relightables", a volumetric capture system for photorealistic and high quality relightable full-body performance capture. While significant progress has been made on volumetric capture systems, focusing on 3D geometric reco…
View article: Deep reflectance fields
Deep reflectance fields Open
We present a novel technique to relight images of human faces by learning a model of facial reflectance from a database of 4D reflectance field data of several subjects in a variety of expressions and viewpoints. Using our learned model, a…
View article: Single image portrait relighting
Single image portrait relighting Open
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 studio to manipulate the appearance of their subject, while c…
View article: DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality Open
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 phone camera with a limited field of view (FOV). For training …