Tag
A Chinese open-source model reconstructs 3D scenes in real-time from a single camera video, no LiDAR required, achieves 20fps on a single GPU with performance superior to traditional optimization methods. Fully open-source.
ReViV is a unified framework for holistic egocentric 4D reconstruction that simultaneously reconstructs viewer (body, hand, gaze) and view (depth, camera trajectory) dynamics from a single monocular RGB video using a Masked Generative Egocentric Transformer, achieving state-of-the-art accuracy and efficiency.
MetaView proposes a diffusion-based monocular novel view synthesis framework that combines implicit geometry priors with metric depth guidance to achieve consistent and controllable rendering under large viewpoint changes from a single image.