Research map / 3D vision / Face and shape
Towards High-Fidelity Nonlinear 3D Face Morphable Model
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add global-local architecture (ablation) | Nonlinear 3DMM · AFLW2000-3D | reconstruction error (l2,1): 0.0427 -> 0.0386 | Helped |
| add proxy shape and albedo learning (ablation) | Nonlinear 3DMM + GL · AFLW2000-3D | reconstruction error (l2,1): 0.0386 -> 0.0363 | Helped |
| use perceptual loss with l2,1 reconstruction loss instead of l2,1 alone (ablation) | Proposed nonlinear 3DMM · face image reconstruction | visual reconstruction detail and realism | Helped |
| add gradient difference loss (ablation) | Proposed nonlinear 3DMM · face image reconstruction | visual reconstruction detail | Helped |
| remove residual soft symmetry loss on occluded shape regions (ablation) | Proposed nonlinear 3DMM · occluded face regions | shape detail consistency | Hurt |
| add residual soft symmetry loss on depth residuals (ablation) | Proposed nonlinear 3DMM · occluded face regions | shape detail consistency | Helped |
Closest papers by meaning
- Nonlinear 3D Face Morphable Model (CVPR 2018 · similarity 0.91)
- Regressing Robust and Discriminative 3D Morphable Models With a Very Deep Neural Network (CVPR 2017 · similarity 0.91)
- Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction (CVPR 2020 · similarity 0.90)
- Learning Complete 3D Morphable Face Models From Images and Videos (CVPR 2021 · similarity 0.89)
- MVF-Net: Multi-View 3D Face Morphable Model Regression (CVPR 2019 · similarity 0.89)
- ImFace: A Nonlinear 3D Morphable Face Model With Implicit Neural Representations (CVPR 2022 · similarity 0.89)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.