Research map / 3D vision / 3D generation
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use conditional neural groundplans instead of PixelNeRF | Single-image novel-view synthesis · CLEVR (1 view) | PSNR: 33.98 -> 34.5 | Helped |
| Use conditional neural groundplans instead of PixelNeRF | Single-image novel-view synthesis · CLEVR (1 view) | SSIM: 0.945 -> 0.956 | Helped |
| Use conditional neural groundplans instead of PixelNeRF | Single-image novel-view synthesis · CLEVR (1 view) | LPIPS: 0.200 -> 0.15 | Helped |
| Use conditional neural groundplans instead of PixelNeRF | Single-image novel-view synthesis · CoSY (1 view) | PSNR: 14.61 -> 15.71 | Helped |
| Use conditional neural groundplans instead of PixelNeRF | Single-image novel-view synthesis · CoSY (1 view) | SSIM: 0.34 -> 0.43 | Helped |
| Use conditional neural groundplans instead of PixelNeRF | Single-image novel-view synthesis · CoSY (1 view) | LPIPS: 0.64 -> 0.53 | Helped |
| Increase context views from one to five | Neural Groundplans · CoSY | PSNR: 15.71 -> 18.29 | Helped |
| Increase context views from one to five | Neural Groundplans · CoSY | SSIM: 0.43 -> 0.57 | Helped |
| Increase context views from one to five | Neural Groundplans · CoSY | LPIPS: 0.53 -> 0.43 | Helped |
Closest papers by meaning
- NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields (ICLR 2025 · similarity 0.89)
- DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features (NeurIPS 2024 · similarity 0.88)
- DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$ (ICLR 2024 · similarity 0.87)
- 3D Reconstruction with Generalizable Neural Fields using Scene Priors (ICLR 2024 · similarity 0.87)
- Neural Atlas Graphs for Dynamic Scene Decomposition and Editing (NeurIPS 2025 · similarity 0.87)
- A 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale (NeurIPS 2026 · similarity 0.87)
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