3 accepted papers
Video Novel View Synthesis (VNVS) aims to render arbitrary novel viewpoints of dynamic scenes from a single-view video, but its algorithmic training faces a major challenge: the lack of large-scale multi-view video datasets. Prior methods often train on monocular data by framing it as an inpainting
Depth Anything has achieved remarkable success in monocular depth estimation with strong generalization ability. However, it suffers from temporal inconsistency in videos, hindering its practical applications. Various methods have been proposed to alleviate this issue by leveraging video generation…
Indirect method is widely used in the field of visual SLAM at present, and it can be divided into feature matching method and optical flow tracking method according to whether matching descriptors are needed in the tracking process. Compared to feature matching method, optical flow does not need to