ShahRukh Athar, Shunsuke Saito, Zhengyu Yang, Stanislav Pidhorskyi and Chen Cao TL;DR From monocular video captures, we create Studio-like face texture maps with high resolution facial details and studio lighting. Creating photorealistic av…
Alfredo Rivero*, ShahRukh Athar*, Zhixin Shu and Dimitris Samaras TL;DR From monocular video captures, Rig3DGS rigs 3D Gaussian Splatting to enable the creation of reanimatable portrait videos with control over facial expressions, head-pose…
ShahRukh Athar, Zhixin Shu Zexiang Xu, Fujun Luan, Sai Bi, Kalyan Sunkavalli and Dimitris Samaras TL;DR CoDyNeRF enables the realistic reproduction of illumination effects while animating Neural 3D Portraits. Recent advances in Neural Radia…
ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman and Zhixin Shu YouTube link (Lower-Res, with captions) TL;DR RigNeRF enables control over facial expressions, head-pose and viewing direction of portrait neural radiance fields. V…
ShahRukh Athar, Zhixin Shu, Dimitris Samaras FLAME-in-NeRF: Our method enables expression-based reanimation of Portrait Neural Radiance Fields (NeRFs). On the right is the driving video from which expression parameters are drive the reanima…
ShahRukh Athar, Albert Pumarola, Francesc Moreno-Noguer, Dimitris Samaras Predicting and Rendering Expression conditioned Facial Details: In the first row, the first column is the input image, the second is the output rendering with facial
ShahRukh Athar, Evgeny Burnaev and Victor Lempitsky Figure 1: Sample resotrations using a Latent Convolutional Model. Convolutional Neural Networks (CNN) have made a lasting impact on the entire field of computer vision with great results o…
The Wasserstein GAN (WGAN) is a recent algorithm developed by researchers at Facebook AI Research for Generative Modeling using Generative Adversarial Networks (GANs). If you don’t know what Generative Models or GANs are all about, here is
Machine learning is used everywhere, it finds its application in a number of diverse fields ranging from targeted advertisements to disease diagnosis to Crystallography. So what is Machine Learning? And why is it so successful? In 1959, Mac…
Member of Technical Staff at Mirage Former Ph.D. Student, Department of Computer ScienceStony Brook University I am a Member of Technical Staff at Mirage. Before that, I was a Ph.D. student at Stony Brook University working under the superv…
Applied Scientist at Amazon Prime Video & MGM Studios Former Ph.D. Student, Department of Computer ScienceStony Brook University I am an Applied Scientist at Amazon Prime Video & MGM Studios. Before that, I was a Member of Technical Staff a…