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SOTA
三维人脸重建
3D Face Reconstruction On Realy
3D Face Reconstruction On Realy
评估指标
@cheek
@forehead
@mouth
@nose
all
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
@cheek
@forehead
@mouth
@nose
all
Paper Title
Repository
RingNet
2.028 (±0.720)
2.995 (±0.908)
2.074 (±0.616)
1.934 (±0.458)
2.258
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
N-3DMM
1.918 (±0.801)
4.582 (±1.488)
2.375 (±0.599)
2.936 (±0.810)
2.953
Towards High-fidelity Nonlinear 3D Face Morphable Model
-
PRNet
1.863 (±0.698)
2.429 (±0.588)
1.838 (±0.637)
1.923 (±0.518)
2.013
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
SADRNet
1.856 (±0.701)
2.413 (±0.537)
1.591 (±0.488)
1.791 (±0.542)
1.913
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
3DDFA-v2
1.757 (±0.642)
2.447 (±0.647)
1.597 (±0.478)
1.903 (±0.517)
1.926
Towards Fast, Accurate and Stable 3D Dense Face Alignment
ExpNet
1.717 (±0.590)
3.084 (±1.005)
1.912 (±0.450)
2.509 (±0.486)
2.306
ExpNet: Landmark-Free, Deep, 3D Facial Expressions
MGCNet
1.665 (±0.644)
2.248 (±0.508)
1.409 (±0.418)
1.827 (±0.383)
1.787
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
SynergyNet
1.647 (±0.622)
2.679 (±0.741)
1.731 (±0.502)
2.026 (±0.532)
2.021
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
PSL
1.593 (±0.540)
2.350 (±0.551)
1.876 (±0.563)
1.708 (±0.349)
1.882
A Perceptual Shape Loss for Monocular 3D Face Reconstruction
-
Deep3D
1.528 (±0.501)
2.015 (±0.449)
1.368 (±0.439)
1.719 (±0.354)
1.657
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
EMOCA-f
1.495 (±0.469)
2.595 (±0.631)
2.929 (±1.106)
2.532 (±0.539)
2.388
EMOCA: Emotion Driven Monocular Face Capture and Animation
DECA-c
1.479 (±0.535)
2.394 (±0.576)
2.516 (±0.839)
1.697 (±0.355)
2.010
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
CEST
1.456 (±0.485)
2.384 (±0.578)
1.448 (±0.406)
2.779 (±0.835)
2.017
Self-Supervised 3D Face Reconstruction via Conditional Estimation
-
DECA-f
1.443 (±0.498)
2.457 (±0.559)
2.802 (±0.868)
2.138 (±0.461)
2.210
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
EMOCA-c
1.438 (±0.501)
2.426 (±0.641)
2.679 (±1.112)
1.868 (±0.387)
2.103
EMOCA: Emotion Driven Monocular Face Capture and Animation
HiFace-c
1.342 (±0.384)
1.331 (±0.347)
1.461 (±0.430)
1.054 (±0.317)
1.297
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
-
GANFit
1.329 (±0.504)
2.402 (±0.545)
1.812 (±0.544)
1.928 (±0.490)
1.868
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
HiFace-f
1.291 (±0.362)
1.324 (±0.334)
1.450 (±0.413)
1.036 (±0.280)
1.275
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
-
AlbedoGAN
1.141 (±0.303)
2.102 (±0.512)
2.087 (±0.839)
1.656 (±0.374)
1.746
Towards Realistic Generative 3D Face Models
MoSAR
1.128 (±0.303)
1.950 (±0.559)
1.424 (±0.462)
1.499 (±0.366)
1.500
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
-
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