20 citations · 32 across the 10 of their papers we have counts for
11 papers
Shadow Removal Refinement via Material-Consistent Shadow Edges
Shilin Hu, Hieu Le, ShahRukh Athar +2
Shadow boundaries can be confused with material boundaries as both exhibit sharp changes in luminance or contrast within a scene. However, shadows do not modify the intrinsic color…
Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos
Alfredo Rivero, ShahRukh Athar, Zhixin Shu +1
Creating controllable 3D human portraits from casual smartphone videos is highly desirable due to their immense value in AR/VR applications. The recent development of 3D Gaussian S…
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain +3
Current advances in human head modeling allow the generation of plausible-looking 3D head models via neural representations, such as NeRFs and SDFs. Nevertheless, constructing comp…
Controllable Dynamic Appearance for Neural 3D Portraits
ShahRukh Athar, Zhixin Shu, Zexiang Xu +4
Recent advances in Neural Radiance Fields (NeRFs) have made it possible to reconstruct and reanimate dynamic portrait scenes with control over head-pose, facial expressions and vie…
RigNeRF: Fully Controllable Neural 3D Portraits
ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli +2
Volumetric neural rendering methods, such as neural radiance fields (NeRFs), have enabled photo-realistic novel view synthesis. However, in their standard form, NeRFs do not suppor…
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer +1
We present SIDER(Single-Image neural optimization for facial geometric DEtail Recovery), a novel photometric optimization method that recovers detailed facial geometry from a singl…
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
ShahRukh Athar, Zhixin Shu, Dimitris Samaras
This paper presents a neural rendering method for controllable portrait video synthesis. Recent advances in volumetric neural rendering, such as neural radiance fields (NeRF), has…
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction
ShahRukh Athar, Albert Pumarola, Francesc Moreno-Noguer +1
Facial Expressions induce a variety of high-level details on the 3D face geometry. For example, a smile causes the wrinkling of cheeks or the formation of dimples, while being angr…
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Jingyi Xu, Hieu Le, Mingzhen Huang +2
Fine-grained few-shot recognition often suffers from the problem of training data scarcity for novel categories.The network tends to overfit and does not generalize well to unseen…
Self-supervised Deformation Modeling for Facial Expression Editing
ShahRukh Athar, Zhixin Shu, Dimitris Samaras
Recent advances in deep generative models have demonstrated impressive results in photo-realistic facial image synthesis and editing. Facial expressions are inherently the result o…
Latent Convolutional Models
ShahRukh Athar, Evgeny Burnaev, Victor Lempitsky
We present a new latent model of natural images that can be learned on large-scale datasets. The learning process provides a latent embedding for every image in the training datase…