Research map / 3D vision / Depth and stereo
Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Model the container's multiple reflections and refractions with ReNeuS's hybrid ray-tracing and volume-rendering strategy | NeuS · Synthetic w/ box (mean) | Chamfer-L1: 20.59 -> 3.19 | Helped |
| Add the hybrid rendering strategy instead of using the NeuS+ variant that refracts rays once (ablation) | NeuS · Ablation study | Chamfer-L1: 22.07 -> 17.90 | Helped |
| Add the transmittance loss (ablation) | ReNeuS · Ablation study | Chamfer-L1: 19.08 -> 17.90 | Helped |
| Add the hybrid rendering strategy instead of using the NeuS+ variant that refracts rays once (ablation) | NeuS · Ablation study | Failure case: 3 -> 0 | Helped |
| Add the transmittance loss (ablation) | ReNeuS · Ablation study | Failure case: 2 -> 0 | Helped |
Closest papers by meaning
- Differentiable Neural Surface Refinement for Modeling Transparent Objects (CVPR 2024 · similarity 0.89)
- From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS (NeurIPS 2024 · similarity 0.89)
- Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields (CVPR 2024 · similarity 0.88)
- Structure from Collision (CVPR 2025 · similarity 0.87)
- UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections (NeurIPS 2024 · similarity 0.87)
- Neural Inverse Rendering from Propagating Light (CVPR 2025 · similarity 0.86)
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