1 citations · 1 across the 7 of their papers we have counts for
7 papers
WildLight: In-the-wild Inverse Rendering with a Flashlight
Ziang Cheng, Junxuan Li, Hongdong Li
This paper proposes a practical photometric solution for the challenging problem of in-the-wild inverse rendering under unknown ambient lighting. Our system recovers scene geometry…
MEGANE: Morphable Eyeglass and Avatar Network
Junxuan Li, Shunsuke Saito, Tomas Simon +3
Eyeglasses play an important role in the perception of identity. Authentic virtual representations of faces can benefit greatly from their inclusion. However, modeling the geometri…
Self-calibrating Photometric Stereo by Neural Inverse Rendering
Junxuan Li, Hongdong Li
This paper tackles the task of uncalibrated photometric stereo for 3D object reconstruction, where both the object shape, object reflectance, and lighting directions are unknown. T…
Neural Reflectance for Shape Recovery with Shadow Handling
Junxuan Li, Hongdong Li
This paper aims at recovering the shape of a scene with unknown, non-Lambertian, and possibly spatially-varying surface materials. When the shape of the object is highly complex an…
Lighting, Reflectance and Geometry Estimation from 360 Panoramic Stereo
Junxuan Li, Hongdong Li, Yasuyuki Matsushita
We propose a method for estimating high-definition spatially-varying lighting, reflectance, and geometry of a scene from 360 stereo images. Our model takes advantage of t…
A Frequency Domain Neural Network for Fast Image Super-resolution
Junxuan Li, Shaodi You, Antonio Robles-Kelly
In this paper, we present a frequency domain neural network for image super-resolution. The network employs the convolution theorem so as to cast convolutions in the spatial domain…