Research map / 3D vision / Face and shape
Neural Body: Implicit Neural Representations With Structured Latent Codes for Novel View Synthesis of Dynamic Humans
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Neural Body rather than NHR | ZJU-MoCap novel-view synthesis · ZJU-MoCap average | PSNR: 23.90 -> 28.10 | Helped |
| Use Neural Body rather than NHR | ZJU-MoCap novel-view synthesis · ZJU-MoCap average | SSIM: 0.897 -> 0.944 | Helped |
| Add per-frame latent embeddings for temporally varying appearance (ablation) | Neural Body · Twirl | PSNR: 30.03 -> 30.56; 0.53 PSNR improvement | Helped |
| Increase training camera views from 1 to 6 (ablation) | Neural Body · Twirl, six-view ablation test | PSNR: 25.08 -> 32.73 | Helped |
| Increase training camera views from 1 to 6 (ablation) | Neural Body · Twirl, six-view ablation test | SSIM: 0.912 -> 0.979 | Helped |
| Train with more video frames, increasing from 1 to 300 (ablation) | Neural Body · Twirl, first frame | PSNR: 25.64 -> 30.66 | Helped |
| Train with more video frames, increasing from 300 to 1200 (ablation) | Neural Body · Twirl, first frame | PSNR: 30.66 -> 29.97 | Hurt |
Closest papers by meaning
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- Learning Neural Volumetric Representations of Dynamic Humans in Minutes (CVPR 2023 · similarity 0.89)
- H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion (NeurIPS 2021 · similarity 0.89)
- MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild (CVPR 2024 · similarity 0.87)
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