no code implementations • 20 Jun 2022 • Gaochang Wu, Yuemei Zhou, Yebin Liu, Lu Fang, Tianyou Chai
In this paper, we present a Geometry-aware Neural Interpolation (Geo-NI) framework for light field rendering.
no code implementations • 7 Apr 2022 • Yuemei Zhou, Tao Yu, Zerong Zheng, Ying Fu, Yebin Liu
Existing state-of-the-art novel view synthesis methods rely on either fairly accurate 3D geometry estimation or sampling of the entire space for neural volumetric rendering, which limit the overall efficiency.
no code implementations • ICCV 2021 • Ruizhi Shao, Gaochang Wu, Yuemei Zhou, Ying Fu, Yebin Liu
By combining the local transformer with the multiscale structure, the network is able to capture long-short range correspondences efficiently and accurately.
no code implementations • CVPR 2021 • Yuemei Zhou, Gaochang Wu, Ying Fu, Kun Li, Yebin Liu
Various combinations of cameras enrich computational photography, among which reference-based superresolution (RefSR) plays a critical role in multiscale imaging systems.