Recovering metric 3D geometry from monocular images is a fundamental computer vision task, yet current methods remain heavily fragmented by fixed camera model assumptions and inflexible input schemes. We present OmniPoint, a unified framework designed to generalize metric reconstruction across diverse imaging sensors,...
Bo-Tao Ye, Marc Pollefeys, Ming-Hsuan Yang et al.· 1 citation
Process reward models (PRMs) have demonstrated notable effectiveness in test-time scaling and reinforcement learning by providing fine-grained signals for evaluating intermediate reasoning states, but their training relies heavily on costly process annotations. A natural way to alleviate this dependence is to complemen...
Kai Gan, Zi-Hao Zhou, Bo-Tao Ye et al.· 0 citations
This work introduces MRCL, a Multimodal Reasoning Continual Learning benchmark, and proposes Continual Policy Optimization (CPO), a replay-free framework grounded in a prior-task behavioral KL objective that consistently reduces forgetting while preserving, and in some cases improving, pretrained model capabilities.
