Depth Any Seen: Which Surfaces and How Far?

arXiv:2609.32027 · cs.CV, cs.AI, cs.GR, cs.RO · Submitted 2026-09-25 · Read on arXiv

cs.CV, cs.AI, cs.GR, cs.RO

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Accuracy — 47× in this paper · explained in 1 episode
• Ablation — 17× in this paper · explained in 1 episode
• Regularization — 17× in this paper · explained in 3 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Calibration — 10× in this paper · explained in 7 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 6× in this paper
• Transformer — 5× in this paper · explained in 2 episodes
• International Conference on Computer Vision — 4× in this paper
• Provenance — 4× in this paper · explained in 4 episodes
• IEEE International Conference on Robotics and Automation — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Closed-Loop Control — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Modeling Depth Ambiguity: A Mixture-Density Representation for Flying-Point-Free Depth Estimation
• World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models