182 citations · 358 across the 6 of their papers we have counts for
6 papers
Relighting Neural Radiance Fields with Shadow and Highlight Hints
Chong Zeng, Guojun Chen, Yue Dong +3
This paper presents a novel neural implicit radiance representation for free viewpoint relighting from a small set of unstructured photographs of an object lit by a moving point li…
Object-based Illumination Estimation with Rendering-aware Neural Networks
Xin Wei, Guojun Chen, Yue Dong +2
We present a scheme for fast environment light estimation from the RGBD appearance of individual objects and their local image areas. Conventional inverse rendering is too computat…
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks
Xiao Li, Yue Dong, Pieter Peers +1
We present a new weakly supervised learning-based method for generating novel category-specific 3D shapes from unoccluded image collections. Our method is weakly supervised and onl…
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks
Xiao Li, Yue Dong, Pieter Peers +1
We present a convolutional neural network (CNN) based solution for modeling physically plausible spatially varying surface reflectance functions (SVBRDF) from a single photograph o…
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging
Julio Marco, Quercus Hernandez, Adolfo Muñoz +5
Time-of-flight (ToF) imaging has become a widespread technique for depth estimation, allowing affordable off-the-shelf cameras to provide depth maps in real time. However, multipat…
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
Jian Shi, Yue Dong, Hao Su +1
We consider the non-Lambertian object intrinsic problem of recovering diffuse albedo, shading, and specular highlights from a single image of an object. We build a large-scale obje…