52 citations · 56 across the 7 of their papers we have counts for
7 papers
Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields
Yifan Wang, Yi Gong, Yuan Zeng
Recent advances in Neural radiance fields (NeRF) have enabled high-fidelity scene reconstruction for novel view synthesis. However, NeRF requires hundreds of network evaluations pe…
LumiGAN: Unconditional Generation of Relightable 3D Human Faces
Boyang Deng, Yifan Wang, Gordon Wetzstein
Unsupervised learning of 3D human faces from unstructured 2D image data is an active research area. While recent works have achieved an impressive level of photorealism, they commo…
DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields
Wei-Ting Chen, Wang Yifan, Sy-Yen Kuo +1
Neural radiance fields (NeRFs) have demonstrated state-of-the-art performance for 3D computer vision tasks, including novel view synthesis and 3D shape reconstruction. However, the…
Input-level Inductive Biases for 3D Reconstruction
Wang Yifan, Carl Doersch, Relja Arandjelović +2
Much of the recent progress in 3D vision has been driven by the development of specialized architectures that incorporate geometrical inductive biases. In this paper we tackle 3D r…
Repopulating Street Scenes
Yifan Wang, Andrew Liu, Richard Tucker +4
We present a framework for automatically reconfiguring images of street scenes by populating, depopulating, or repopulating them with objects such as pedestrians or vehicles. Appli…
A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design
Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai +2
The design of the optimal inverse discrete cosine transform (IDCT) to compensate the quantization error is proposed for effective lossy image compression in this work. The forward…