Novel View Synthesis
Synthesize a target image with an arbitrary target camera pose from given source images and their camera poses.
See Wiki for more introductions.
The Synthesis method include: NeRF, MPI and so on.
( Image credit: Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence )
Papers
Showing 1–10 of 1441 papers
All datasetsLLFFMip-NeRF 360NeRFTanks and TemplesRefRefDONeRF: Evaluation DatasetX3DRTMVScanNetACIDSWORDHDR-GS
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | R3F-Oracle | Average PSNR (dB) | 29.34 | — | Unverified |
| 2 | Zip-NeRF | Average PSNR (dB) | 26.11 | — | Unverified |
| 3 | R3F | Average PSNR (dB) | 24.95 | — | Unverified |
| 4 | Ray Deformation Network | Average PSNR (dB) | 23.13 | — | Unverified |
| 5 | Rose-NeRF | Average PSNR (dB) | 22.86 | — | Unverified |
| 6 | NeuS | Average PSNR (dB) | 19.62 | — | Unverified |
| 7 | Splatfacto | Average PSNR (dB) | 19.53 | — | Unverified |
| 8 | TNSR | Average PSNR (dB) | 18.64 | — | Unverified |