61 citations · 276 across the 28 of their papers we have counts for
20 papers · 1 filter
Generating Animatable 3D Cartoon Faces from Single Portraits
Chuanyu Pan, Guowei Yang, Taijiang Mu +1
With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consumin…
Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method
Ran Yi, Haoyuan Tian, Zhihao Gu +2
Image aesthetics assessment (IAA) is a challenging task due to its highly subjective nature. Most of the current studies rely on large-scale datasets (e.g., AVA and AADB) to learn…
Playing Lottery Tickets in Style Transfer Models
Meihao Kong, Jing Huo, Wenbin Li +3
Style transfer has achieved great success and attracted a wide range of attention from both academic and industrial communities due to its flexible application scenarios. However,…
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…
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation
Kunhao Yuan, Gerald Schaefer, Yu-Kun Lai +4
Weakly supervised semantic segmentation (WSSS) has gained significant popularity since it relies only on weak labels such as image level annotations rather than pixel level annotat…
Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels
Zipeng Ye, Mengfei Xia, Ran Yi +5
In this paper, we present a dynamic convolution kernel (DCK) strategy for convolutional neural networks. Using a fully convolutional network with the proposed DCKs, high-quality ta…