Significant advancements in RGB-D semantic segmentation have been made owing to the
increasing availability of robust depth information. Most researchers have combined depth …

Model generalizability to unseen datasets, concerned with in-the-wild robustness, is less
studied for indoor single-image depth prediction. We leverage gradient-based meta-learning …

Recent advances in discriminative and generative pretraining have yielded geometry
estimation models with strong generalization capabilities. While discriminative monocular …

This paper introduces Scene Completeness-Aware Depth Completion (SCADC) to complete
raw lidar scans into dense depth maps with fine and complete scene structures. Recent …