Research map / 3D vision / NeRF and radiance fields
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use surface-aligned representation and dispersed projection instead of the compared baseline representations | Surface-Aligned NeRF · ZJU-MoCap unseen pose | PSNR: 23.49 -> 24.42 | Helped |
| Use surface-aligned representation and mesh-aligned deformation | Surface-Aligned NeRF · Human3.6M unseen pose | PSNR: 22.55 -> 23.25 | Helped |
| Add skeleton pose input (ablation) | Surface-Aligned NeRF · ZJU-MoCap Kick | PSNR: 26.58 -> 27.77 | Helped |
| Add skeleton pose input (ablation) | Surface-Aligned NeRF · ZJU-MoCap Kick | SSIM: 0.915 -> 0.927 | Helped |
| Use dispersed projection instead of nearest point projection (ablation) | Surface-Aligned NeRF · ZJU-MoCap Kick | PSNR: 27.38 -> 27.77 | Helped |
| Use dispersed projection instead of nearest point projection (ablation) | Surface-Aligned NeRF · ZJU-MoCap Kick | SSIM: 0.923 -> 0.927 | Helped |
Closest papers by meaning
- H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion (NeurIPS 2021 · similarity 0.90)
- A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose (NeurIPS 2021 · similarity 0.89)
- Neural Body: Implicit Neural Representations With Structured Latent Codes for Novel View Synthesis of Dynamic Humans (CVPR 2021 · similarity 0.89)
- Template-free Articulated Neural Point Clouds for Reposable View Synthesis (NeurIPS 2023 · similarity 0.88)
- Pose Modulated Avatars from Video (ICLR 2024 · similarity 0.87)
- ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image (CVPR 2024 · similarity 0.87)
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