ShahRukh Athar
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View article: Measuring tools to help professional teachers: Valid and reliable perfectionist academic scale tools for students
Measuring tools to help professional teachers: Valid and reliable perfectionist academic scale tools for students Open
Every student hopes to succeed academically, but some students tend towards academic perfectionism, which can impact conditions at school. Professional teachers need to detect these characteristics, but there are no specific measuring inst…
View article: Shadow Removal Refinement via Material-Consistent Shadow Edges
Shadow Removal Refinement via Material-Consistent Shadow Edges Open
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 or texture of surfaces. Therefore, on both sides of shadow…
View article: Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture
Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture Open
Creating photorealistic avatars for individuals traditionally involves extensive capture sessions with complex and expensive studio devices like the LightStage system. While recent strides in neural representations have enabled the generat…
View article: Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos
Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos Open
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 Splatting (3DGS) has shown improvements in rendering quality…
View article: HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs Open
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 complete high-fidelity head models with explicitly controlled a…
View article: Controllable Dynamic Appearance for Neural 3D Portraits
Controllable Dynamic Appearance for Neural 3D Portraits Open
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 viewing direction. However, training such models assumes photo…
View article: Banding Patches Dataset with Corresponding Banded and Pristine Pairs
Banding Patches Dataset with Corresponding Banded and Pristine Pairs Open
Contains 51,490 pairs of matching banded and pristine image patches of size 256x256.
View article: Banding Patches Dataset with Corresponding Banded and Pristine Pairs
Banding Patches Dataset with Corresponding Banded and Pristine Pairs Open
Contains 51,490 pairs of matching banded and pristine image patches of size 256x256.
View article: Deep Image Debanding
Deep Image Debanding Open
Banding or false contour is an annoying visual artifact whose impact is even more pronounced in ultra high definition, high dynamic range, and wide colour gamut visual content, which is becoming increasingly popular. Since users associate …
View article: RigNeRF: Fully Controllable Neural 3D Portraits
RigNeRF: Fully Controllable Neural 3D Portraits Open
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 support the editing of objects, such as a human head, within a sc…
View article: SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery Open
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,crea…
View article: Degraded Reference Image Quality Assessment
Degraded Reference Image Quality Assessment Open
In practical media distribution systems, visual content usually undergoes multiple stages of quality degradation along the delivery chain, but the pristine source content is rarely available at most quality monitoring points along the chai…
View article: Author Index
Author Index Open
View article: Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge
Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge Open
The enormous space and diversity of natural images is usually represented by a few small-scale human-rated image quality assessment (IQA) datasets. This casts great challenges to deep neural network (DNN) based blind IQA (BIQA), which requ…
View article: SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery Open
We present SIDER(Single-Image neural optimization for facial geometric DEtail Recovery), a novel photometric optimization method that recovers detailed facial geometry from a single image in an unsupervised manner. Inspired by classical te…
View article: FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation Open
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 enabled the photorealistic novel view synthesis of static s…
View article: FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction Open
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 angry often causes wrinkling of the forehead. Morphable Models …
View article: Self-supervised Deformation Modeling for Facial Expression Editing
Self-supervised Deformation Modeling for Facial Expression Editing Open
Recent advances in deep generative models have demonstrated impressive results in photo-realistic facial image synthesis and editing. Facial expressions are inherently the result of muscle movement. However, existing neural network-based a…
View article: Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression
Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression Open
Peer-based aggression following social rejection is a costly and prevalent problem for which existing treatments have had little success. This may be because aggression is a complex process influenced by current states of attention and aro…
View article: Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Open
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 classes due to insufficient training data. Many methods hav…
View article: Variational Transfer Learning for Fine-grained Few-shot Visual Recognition.
Variational Transfer Learning for Fine-grained Few-shot Visual Recognition. Open
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 classes due to insufficient training data. Many methods hav…
View article: Image Quality Assessment: Addressing the Data Shortage and Multi-Stage Distortion Challenges
Image Quality Assessment: Addressing the Data Shortage and Multi-Stage Distortion Challenges Open
Visual content constitutes the vast majority of the ever increasing global Internet traffic, thus highlighting the central role that it plays in our daily lives. The perceived quality of such content can be degraded due to a number of dist…
View article: A Comprehensive Performance Evaluation of Image Quality Assessment Algorithms
A Comprehensive Performance Evaluation of Image Quality Assessment Algorithms Open
Image quality assessment (IQA) algorithms aim to predict perceived image quality by human observers. Over the last two decades, a large amount of work has been carried out in the field. New algorithms are being developed at a rapid rate in…
View article: Latent Convolutional Models
Latent Convolutional Models Open
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 dataset, as well as a deep convolutional network that maps the la…