REALY

Overview edit

Variants: REALY, REALY (side-view)

Associated Benchmarks

This dataset is used in 1 benchmark:

• 3D Face Reconstruction - Metrics: all, @nose, @mouth, @forehead, @cheek

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading (2023) -
• 3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation (2023) -
• A Perceptual Shape Loss for Monocular 3D Face Reconstruction (2023) -
• Towards Realistic Generative 3D Face Models (2023) -
• HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details (2023) -
• A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images (2023) -
• FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction (2022) -
• EMOCA: Emotion Driven Monocular Face Capture and Animation (2022) -
• Towards Metrical Reconstruction of Human Faces (2022) -
• Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry (2021) -
• Self-Supervised 3D Face Reconstruction via Conditional Estimation (2021) -
• SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction (2021) -
• Learning an Animatable Detailed 3D Face Model from In-The-Wild Images (2020) -
• Towards Fast, Accurate and Stable 3D Dense Face Alignment (2020) -
• Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency (2020) -
• Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision (2019) -
• Towards High-fidelity Nonlinear 3D Face Morphable Model (2019) -
• Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (2019) -
• GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction (2019) -
• Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (2018) -