99 citations · 168 across the 10 of their papers we have counts for
10 papers
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region
Teng Hu, Ran Yi, Haokun Zhu +5
Stroke-based rendering aims to recreate an image with a set of strokes. Most existing methods render complex images using an uniform-block-dividing strategy, which leads to boundar…
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Zhimin Sun, Shen Chen, Taiping Yao +4
The challenge in sourcing attribution for forgery faces has gained widespread attention due to the rapid development of generative techniques. While many recent works have taken es…
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
Teng Hu, Jiangning Zhang, Liang Liu +7
Training a generative model with limited number of samples is a challenging task. Current methods primarily rely on few-shot model adaption to train the network. However, in scenar…
Toward High Quality Facial Representation Learning
Yue Wang, Jinlong Peng, Jiangning Zhang +4
Face analysis tasks have a wide range of applications, but the universal facial representation has only been explored in a few works. In this paper, we explore high-performance pre…
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation
Ke Fan, Changan Wang, Yabiao Wang +3
Glass-like objects are widespread in daily life but remain intractable to be segmented for most existing methods. The transparent property makes it difficult to be distinguished fr…
Instance-Aware Domain Generalization for Face Anti-Spoofing
Qianyu Zhou, Ke-Yue Zhang, Taiping Yao +4
Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to improve the generalization on unseen scenarios. Previous methods typically rely on domain…
Dynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions
Zipeng Ye, Zhiyao Sun, Yu-Hui Wen +4
Recently, talking-face video generation has received considerable attention. So far most methods generate results with neutral expressions or expressions that are implicitly determ…
LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints
Junshu Tang, Zhijun Gong, Ran Yi +2
Point cloud completion aims at completing geometric and topological shapes from a partial observation. However, some topology of the original shape is missing, existing methods dir…
Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data
Ran Yi, Yong-Jin Liu, Yu-Kun Lai +1
Face portrait line drawing is a unique style of art which is highly abstract and expressive. However, due to its high semantic constraints, many existing methods learn to generate…
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
Yifeng Chen, Wenqing Chu, Fangfang Wang +6
Recently, there is growing attention on one-stage panoptic segmentation methods which aim to segment instances and stuff jointly within a fully convolutional pipeline efficiently.…