77 citations · 164 across the 15 of their papers we have counts for
7 papers · 1 filter
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
Wang Zhao, Shaohui Liu, Yi Wei +2
In this paper, we introduce a deep multi-view stereo (MVS) system that jointly predicts depths, surface normals and per-view confidence maps. The key to our approach is a novel sol…
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
Aihua Mao, Zihui Du, Junhui Hou +3
Point cloud upsampling aims to generate dense point clouds from given sparse ones, which is a challenging task due to the irregular and unordered nature of point sets. To address t…
NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits
Paul L. Rosin, Yu-Kun Lai, David Mould +10
Despite the recent upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer,…
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
Wang Zhao, Shaohui Liu, Yezhi Shu +1
In this work, we tackle the essential problem of scale inconsistency for self-supervised joint depth-pose learning. Most existing methods assume that a consistent scale of depth an…
Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose
Ran Yi, Zipeng Ye, Juyong Zhang +2
Real-world talking faces often accompany with natural head movement. However, most existing talking face video generation methods only consider facial animation with fixed head pos…
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos
Zipeng Ye, Mengfei Xia, Yanan Sun +5
Caricature is a type of artistic style of human faces that attracts considerable attention in the entertainment industry. So far a few 3D caricature generation methods exist and al…
Attention-aware Multi-stroke Style Transfer
Yuan Yao, Jianqiang Ren, Xuansong Xie +3
Neural style transfer has drawn considerable attention from both academic and industrial field. Although visual effect and efficiency have been significantly improved, existing met…