Description: Towards Human-Centric Image/Video Synthesis, and the 4th Look Into Person (LIP) Challenge
lip (108) cvpr (20) visual understanding of humans in crowd scene (1) look into person (1) cvpr2017 (1) cvpr workshop (1) xiaodan liang (1) shenhua gao (1)
Human-centric image/video synthesis has been intensely researched in computer vision, with the wide application domains such as human motion transfer, virtual try-on, virtual reality, and human-computer interaction. Developing solutions to understand the human-centric image/video synthesis in the practicable scenarios, regarded as one of the most fundamental problems in computer vision, could have a crucial impact in many industrial application domains. Those bring great convenience for the public. Howe
To stimulate the progress on this research topic and attract more researchers to work on this topic, we also organize the forth large-scale Look Into Person (LIP) challenge which includes four competition tasks: multi-person human parsing, multi-person video parsing, image-baesd multi-pose virtual try-on, and video virtual try-on. This fourth LIP challenge mainly extends the third LIP challenge in CVPR 2017, CVPR 2018, and CVPR 2019 by additionally covering a video virtual try-on challenge. For the mult
Regarding the viability of this workshop, the topic of this workshop is attractive and active. It is very possible that many active researchers would like to attend this workshop (actually the expected number of attendees is 100 from a conservative estimation based on the past publication record on related topics). It is related to yet still clearly different from past workshops as explained below. In addition, we have got confirmation from many renowned professors and researchers in this area and they are
Ziwei Liu - Homepage
Naman Jain
Dongdong Yu, ByteDance AILab
Lingxiao He
Sheng Jin's Homepage
Andrew Jong
Xuecheng Nie
Matiur Rahman Minar