7 citations · 24 across the 13 of their papers we have counts for
10 papers · 1 filter
FaceLift: Semi-supervised 3D Facial Landmark Localization
David Ferman, Pablo Garrido, Gaurav Bharaj
3D facial landmark localization has proven to be of particular use for applications, such as face tracking, 3D face modeling, and image-based 3D face reconstruction. In the supervi…
Implicit Neural Head Synthesis via Controllable Local Deformation Fields
Chuhan Chen, Matthew O'Toole, Gaurav Bharaj +1
High-quality reconstruction of controllable 3D head avatars from 2D videos is highly desirable for virtual human applications in movies, games, and telepresence. Neural implicit fi…
Few-shot Geometry-Aware Keypoint Localization
Xingzhe He, Gaurav Bharaj, David Ferman +2
Supervised keypoint localization methods rely on large manually labeled image datasets, where objects can deform, articulate, or occlude. However, creating such large keypoint labe…
Towards Device Efficient Conditional Image Generation
Nisarg A. Shah, Gaurav Bharaj
We present a novel algorithm to reduce tensor compute required by a conditional image generation autoencoder without sacrificing quality of photo-realistic image generation. Our me…
Multi-Domain Multi-Definition Landmark Localization for Small Datasets
David Ferman, Gaurav Bharaj
We present a novel method for multi image domain and multi-landmark definition learning for small dataset facial localization. Training a small dataset alongside a large(r) dataset…
Generative Landmarks
David Ferman, Gaurav Bharaj
We propose a general purpose approach to detect landmarks with improved temporal consistency, and personalization. Most sparse landmark detection methods rely on laborious, manuall…
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…
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj +5
StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck, shoulders, background), but lacks a rig-like control over semantic face paramet…
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…
FML: Face Model Learning from Videos
Ayush Tewari, Florian Bernard, Pablo Garrido +6
Monocular image-based 3D reconstruction of faces is a long-standing problem in computer vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity make…