3D Face Reconstruction
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Benchmarks
REALY
REALY (side-view)
NoW Benchmark
Florence
AFLW2000-3D
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13.8
Most implemented
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
Learning a model of facial shape and expression from 4D scans
YouTube-8M: A Large-Scale Video Classification Benchmark
Papers
Discovering Geometric Biases in 3D Face Reconstruction: A Curvature-Aware Spectral Framework for Fairness Evaluation
3D Morphable Models (3DMMs) remain the standard parametric shape priors for many state-of-the-art 3D face reconstruction algorithms. However, as these models are derived from a finite number of 3D face samples, they inhe…
3D Face ReconstructionRAW: Robust Avatar Watermarking -- Benchmarking and Baseline
Digital avatar watermarking presents unique challenges: avatars are routinely post-processed with background replacement, reframing, and format conversion before deployment. We introduce \textbf{RAW} (Robust Avatar Water…
3D Face ReconstructionHigh-Fidelity Single-Image Head Modeling with Industry-Grade Topology
We present a single-image head mesh reconstruction framework that addresses the longstanding challenge of simultaneously preserving facial identity and producing industry-grade topology. Our framework adopts a coarse-to-…
3D Face ReconstructionProfile-Specific 3DMM Regression from a Single Lateral Face Image
Single-image 3D face reconstruction is a core problem in computer vision, with important clinical applications such as cephalometric landmark analysis in orthodontics. Traditionally, this analysis relies on lateral X-ray…
3D Face Reconstruction3D ReconstructionRepresenting 3D Faces with Learnable B-Spline Volumes
We present CUBE (Control-based Unified B-spline Encoding), a new geometric representation for human faces that combines B-spline volumes with learned features, and demonstrate its use as a decoder for 3D scan registratio…
Semantic correspondence3D Face ReconstructionPoint CloudsKaoLRM: Repurposing Pre-trained Large Reconstruction Models for Parametric 3D Face Reconstruction
We propose KaoLRM to re-target the learned prior of the Large Reconstruction Model (LRM) for parametric 3D face reconstruction from single-view images. Parametric 3D Morphable Models (3DMMs) have been widely used for fac…
3D Face Reconstruction