Researchers introduced Self-Geometry, a test-time adaptation method that enforces explicit epipolar consistency to improve vision foundation models' depth and pose predictions without full retraining.…
VGGT, a 3D reconstruction model, uses its internal layer L17 to differentiate co-visible image pairs without explicit supervision, solving a key challenge in 3D vision. Building on this, Co-VGGT adds …
Researchers introduced RegimeVGGT, a training-free accelerator for Visual Geometry Grounded Transformer (VGGT) that achieves a 6.7x speedup over VGGT* at matched reconstruction quality by applying lay…
Researchers have developed a framework for unpaired RGB-thermal novel view synthesis that uses a 3D feed-forward transformer to independently estimate camera poses for each modality, then aligns them …