Wenlong Liao

By cleverly turning novel view synthesis into a self-supervised inpainting problem, VisionNVS eliminates the need for ground truth images of novel views, outperforming LiDAR-dependent baselines.

By converting point clouds into a format VLMs can understand, VLM-Loc significantly boosts text-to-point-cloud localization accuracy, outperforming prior methods that rely on shallower text-point cloud correspondences.