Research map / 3D vision / Depth and stereo
Non-Line-of-Sight Imaging With Signal Superresolution Network
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Recover the dense signal from sparse 8 × 8 measurements with SSN instead of nearest-neighbor interpolation | NLOS dynamic-scene reconstruction with F-K · Stanford dynamic scene | PSNR: 18.68 -> 24.46 | Helped |
| Recover the dense signal from sparse 8 × 8 measurements with SSN instead of nearest-neighbor interpolation | NLOS dynamic-scene reconstruction with F-K · Stanford dynamic scene | SSIM: 0.37 -> 0.63 | Helped |
| Replace 32 × 32 scanning with 8 × 8 scanning and SSN signal recovery | NLOS dynamic-scene capture · Stanford dynamic scene | capture time per frame: 0.25 s -> 0.0156 s | Helped |
| Replace 32 × 32 scanning with 8 × 8 scanning and SSN signal recovery | NLOS statue reconstruction · Stanford statue | total exposure time: 7.03 s -> 0.44 s | Helped |
| Use SSN to recover a high-resolution signal from sparse measurements | NLOS imaging pipeline · Confocal and non-confocal settings | acquisition time: 16 times faster | Helped |
Closest papers by meaning
- Deep Non-line-of-sight Imaging from Under-scanning Measurements (NeurIPS 2023 · similarity 0.91)
- NLOST: Non-Line-of-Sight Imaging With Transformer (CVPR 2023 · similarity 0.90)
- Acoustic Non-Line-Of-Sight Imaging (CVPR 2019 · similarity 0.89)
- Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients (NeurIPS 2024 · similarity 0.88)
- Dual-branch Graph Feature Learning for NLOS Imaging (AAAI 2025 · similarity 0.87)
- Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency (NeurIPS 2024 · similarity 0.83)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.