Research map / 3D vision / NeRF and radiance fields
Neural Volumetric Object Selection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use the proposed volumetric method instead of the strongest 2D interactive baseline | object selection · LLFF | IoU: 7.4% IoU | Helped |
| use the proposed volumetric method instead of the strongest 2D interactive baseline | object selection · Shiny | IoU: 10.8% IoU | Helped |
| use the proposed volumetric method instead of 3D graph-cut | object selection · LLFF | SSIM: +0.167 SSIM | Helped |
| use the proposed volumetric method instead of 3D graph-cut | object selection · Shiny | SSIM: +0.158 SSIM | Helped |
| add multi-view image features (ablation) | Ours · LLFF | IoU: 5.4% IoU | Helped |
| add IBR features (ablation) | Ours · LLFF | IoU: 9.7% IoU | Helped |
| add positional encoding (ablation) | Ours · LLFF | IoU: 16.9% | Helped |
| use a DTU-pretrained 3D U-Net instead of a Kinetics-pretrained 3D CNN encoder (ablation) | Ours · LLFF | IoU: -16.2% IoU | Helped |
| add graph-cut post-processing (ablation) | Ours · LLFF | IoU: 2.1% IoU | Helped |
Closest papers by meaning
- NeRF Director: Revisiting View Selection in Neural Volume Rendering (CVPR 2024 · similarity 0.88)
- GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object Detector (CVPR 2025 · similarity 0.87)
- Volumetric and Multi-View CNNs for Object Classification on 3D Data (CVPR 2016 · similarity 0.87)
- Segment Anything in 3D with NeRFs (NeurIPS 2023 · similarity 0.87)
- SANeRF-HQ: Segment Anything for NeRF in High Quality (CVPR 2024 · similarity 0.85)
- Learning Neural Exposure Fields for View Synthesis (NeurIPS 2025 · similarity 0.85)
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