activity
20192022
most citedPhotoApp: Photorealistic Appearance Editing of Head Portraits

16 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

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…

cs.CV2021

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…

cs.CV2021★ 16 cited

PhotoApp: Photorealistic Appearance Editing of Head Portraits

Mallikarjun B R, Ayush Tewari, Abdallah Dib +8

Photorealistic editing of portraits is a challenging task as humans are very sensitive to inconsistencies in faces. We present an approach for high-quality intuitive editing of the…

cs.CV2021

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…

cs.CV2019★ 5 cited

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…