5 citations · 7 across the 4 of their papers we have counts for
5 papers
S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image
Abdallah Dib, Junghyun Ahn, Cedric Thebault +2
We present a novel face reconstruction method capable of reconstructing detailed face geometry, spatially varying face reflectance from a single monocular image. We build our work…
Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing
Abdallah Dib, Cedric Thebault, Junghyun Ahn +3
Robust face reconstruction from monocular image in general lighting conditions is challenging. Methods combining deep neural network encoders with differentiable rendering have ope…
Practical Face Reconstruction via Differentiable Ray Tracing
Abdallah Dib, Gaurav Bharaj, Junghyun Ahn +4
We present a differentiable ray-tracing based novel face reconstruction approach where scene attributes - 3D geometry, reflectance (diffuse, specular and roughness), pose, camera p…
Face Reflectance and Geometry Modeling via Differentiable Ray Tracing
Abdallah Dib, Gaurav Bharaj, Junghyun Ahn +3
We present a novel strategy to automatically reconstruct 3D faces from monocular images with explicitly disentangled facial geometry (pose, identity and expression), reflectance (d…
Data Dependent Kernel Approximation using Pseudo Random Fourier Features
Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin
Kernel methods are powerful and flexible approach to solve many problems in machine learning. Due to the pairwise evaluations in kernel methods, the complexity of kernel computatio…