88 citations · 103 across the 10 of their papers we have counts for
11 papers
Pose-Free Neural Radiance Fields via Implicit Pose Regularization
Jiahui Zhang, Fangneng Zhan, Yingchen Yu +5
Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed multi-view images and it has achieved very impressive success in recent years. Most existing works share the…
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields
Muyu Xu, Fangneng Zhan, Jiahui Zhang +5
Neural Radiance Field (NeRF) has shown impressive performance in novel view synthesis via implicit scene representation. However, it usually suffers from poor scalability as requir…
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao, Xiaoqin Zhang, Ling Shao +1
In the past decade, deep neural networks have achieved significant progress in point cloud learning. However, collecting large-scale precisely-annotated training data is extremely…
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations
Rongliang Wu, Yingchen Yu, Fangneng Zhan +3
Audio-driven talking face generation, which aims to synthesize talking faces with realistic facial animations (including accurate lip movements, vivid facial expression details and…
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution
Jiahui Zhang, Fangneng Zhan, Yingchen Yu +3
Recently, single image super-resolution (SR) under large scaling factors has witnessed impressive progress by introducing pre-trained generative adversarial networks (GANs) as prio…
VMRF: View Matching Neural Radiance Fields
Jiahui Zhang, Fangneng Zhan, Rongliang Wu +5
Neural Radiance Fields (NeRF) have demonstrated very impressive performance in novel view synthesis via implicitly modelling 3D representations from multi-view 2D images. However,…