Search Results - "Tewari, Ayush"

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video by Tretschk, Edgar, Tewari, Ayush, Golyanik, Vladislav, Zollhofer, Michael, Lassner, Christoph, Theobalt, Christian

“…We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and novel view synthesis approach for general non-rigid dynamic scenes. Our approach…”
Get full text

Moduli dimensions of lattice polygons by Echavarria, Marino, Everett, Max, Huang, Shinyu, Jacoby, Liza, Morrison, Ralph, Tewari, Ayush K., Vlad, Raluca, Weber, Ben

“…Given a lattice polygon P with g interior lattice points, we can associate to P two moduli spaces: the moduli space of algebraic curves that are non-degenerate…”
Get full text

Characterization of tropical plane curves up to genus six by Tewari, Ayush Kumar

“…We provide a new forbidden criterion for the realizability of smooth tropical plane curves. This in turn provides us a complete classification of smooth…”
Get full text

Point line geometry in the tropical plane by Tewari, Ayush Kumar

“…We study the classical result by Bruijn and Erdős regarding the bound on the number of lines determined by a n -point configuration in the plane, and in the…”
Get full text

Convex lattice polygons with all lattice points visible by Morrison, Ralph, Tewari, Ayush Kumar

“…Two lattice points are visible to one another if there exist no other lattice points on the line segment connecting them. In this paper we study convex lattice…”
Get full text

MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction by Tewari, Ayush, Zollhofer, Michael, Hyeongwoo Kim, Garrido, Pablo, Bernard, Florian, Perez, Patrick, Theobalt, Christian

“…In this work we propose a novel model-based deep convolutional autoencoder that addresses the highly challenging problem of reconstructing a 3D human face from…”
Get full text

Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz by Tewari, Ayush, Zollhofer, Michael, Garrido, Pablo, Bernard, Florian, Kim, Hyeongwoo, Perez, Patrick, Theobalt, Christian

“…The reconstruction of dense 3D models of face geometry and appearance from a single image is highly challenging and ill-posed. To constrain the problem, many…”
Get full text

StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images by Tewari, Ayush, Elgharib, Mohamed, Bharaj, Gaurav, Bernard, Florian, Seidel, Hans-Peter, Perez, Patrick, Zollhofer, Michael, Theobalt, Christian

“…StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck, shoulders, background), but lacks a rig-like control over…”
Get full text

High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder by Tewari, Ayush, Zollhofer, Michael, Bernard, Florian, Garrido, Pablo, Kim, Hyeongwoo, Perez, Patrick, Theobalt, Christian

“…In this work, we propose a novel model-based deep convolutional autoencoder that addresses the highly challenging problem of reconstructing a 3D human face…”
Get full text

Forbidden patterns in tropical plane curves by Joswig, Michael, Tewari, Ayush Kumar

“…Tropical curves in R 2 correspond to metric planar graphs but not all planar graphs arise in this way. We describe several new classes of graphs which cannot…”
Get full text

Monocular Real-time Full Body Capture with Inter-part Correlations by Zhou, Yuxiao, Habermann, Marc, Habibie, Ikhsanul, Tewari, Ayush, Theobalt, Christian, Xu, Feng

“…We present the first method for real-time full body capture that estimates shape and motion of body and hands together with a dynamic 3D face model from a…”
Get full text

i3DMM: Deep Implicit 3D Morphable Model of Human Heads by Yenamandra, Tarun, Tewari, Ayush, Bernard, Florian, Seidel, Hans-Peter, Elgharib, Mohamed, Cremers, Daniel, Theobalt, Christian

“…We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier morphable face models it not only captures identity-specific…”
Get full text

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images by Tewari, Ayush, R, Mallikarjun B, Pan, Xingang, Fried, Ohad, Agrawala, Maneesh, Theobalt, Christian

“…Learning 3D generative models from a dataset of monocular images enables self-supervised 3D reasoning and controllable synthesis. State-of-the-art 3D…”
Get full text

FML: Face Model Learning From Videos by Tewari, Ayush, Bernard, Florian, Garrido, Pablo, Bharaj, Gaurav, Elgharib, Mohamed, Seidel, Hans-Peter, Perez, Patrick, Zollhofer, Michael, Theobalt, Christian

“…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…”
Get full text

Humans and 3D neural field models make similar 3D shape judgements by OConnell, Thomas, Bonnen, Tyler, Friedman, Yoni, Tewari, Ayush, Tenenbaum, Josh, Sitzmann, Vincent, Kanwisher, Nancy

Get full text

ModalNeRF: Neural Modal Analysis and Synthesis for Free‐Viewpoint Navigation in Dynamically Vibrating Scenes by Petitjean, Automne, Poirier‐Ginter, Yohan, Tewari, Ayush, Cordonnier, Guillaume, Drettakis, George

“…Recent advances in Neural Radiance Fields enable the capture of scenes with motion. However, editing the motion is hard; no existing method allows editing…”
Get full text

Learning Complete 3D Morphable Face Models from Images and Videos by R, Mallikarjun B, Tewari, Ayush, Seidel, Hans-Peter, Elgharib, Mohamed, Theobalt, Christian

“…Most 3D face reconstruction methods rely on 3D morphable models, which disentangle the space of facial deformations into identity and expression geometry, and…”
Get full text

InverseFaceNet: Deep Monocular Inverse Face Rendering by Kim, Hyeongwoo, Zollhofer, Michael, Tewari, Ayush, Thies, Justus, Richardt, Christian, Theobalt, Christian

“…We introduce InverseFaceNet, a deep convolutional inverse rendering framework for faces that jointly estimates facial pose, shape, expression, reflectance and…”
Get full text

Unsupervised Event-Based Video Reconstruction by Fox, Gereon, Pan, Xingang, Tewari, Ayush, Elgharib, Mohamed, Theobalt, Christian

“…Event cameras report events whenever an individual pixel changes brightness. The discrete and asynchronous nature of events makes recovering pixel brightness…”
Get full text

Learning to Render Novel Views from Wide-Baseline Stereo Pairs by Du, Yilun, Smith, Cameron, Tewari, Ayush, Sitzmann, Vincent

“…We introduce a method for novel view synthesis given only a single wide-baseline stereo image pair. In this challenging regime, 3D scene points are regularly…”
Get full text