research
∙
05/08/2023
Controllable Light Diffusion for Portraits
We introduce light diffusion, a novel method to improve lighting in port...
share
research
∙
04/04/2023
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
We propose a method to learn a high-quality implicit 3D head avatar from...
research
∙
01/15/2023
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality
Lighting understanding plays an important role in virtual object composi...
research
∙
05/05/2022
Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects
We, as human beings, can understand and picture a familiar scene from ar...
research
∙
01/13/2022
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
We propose VoLux-GAN, a generative framework to synthesize 3D-aware face...
research
∙
09/12/2021
Multiresolution Deep Implicit Functions for 3D Shape Representation
We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...
research
∙
03/29/2021
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences
In this paper, we address the problem of building dense correspondences ...
research
∙
10/17/2020
Light Stage Super-Resolution: Continuous High-Frequency Relighting
The light stage has been widely used in computer graphics for the past t...
research
∙
08/09/2020
Neural Light Transport for Relighting and View Synthesis
The light transport (LT) of a scene describes how it appears under diffe...
research
∙
08/05/2020
Learning Illumination from Diverse Portraits
We present a learning-based technique for estimating high dynamic range ...
research
∙
07/23/2020
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
This paper presents HITNet, a novel neural network architecture for real...
research
∙
05/18/2020
Deep Implicit Volume Compression
We describe a novel approach for compressing truncated signed distance f...
research
∙
04/08/2020
State of the Art on Neural Rendering
Efficient rendering of photo-realistic virtual worlds is a long standing...
research
∙
03/31/2020
Du^2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Computational stereo has reached a high level of accuracy, but degrades ...
research
∙
05/29/2019
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning
Volumetric (4D) performance capture is fundamental for AR/VR content gen...
research
∙
11/12/2018
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering
Motivated by augmented and virtual reality applications such as telepres...
research
∙
07/24/2018
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
This paper presents StereoNet, the first end-to-end deep architecture fo...
research
∙
07/16/2018
