Ayush Tewari

Orcid: 0000-0002-3805-4421

According to our database1, Ayush Tewari authored at least 56 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2024
A Deeper Analysis of Volumetric Relightable Faces.
Int. J. Comput. Vis., April, 2024

GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views.
CoRR, 2024

FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent.
CoRR, 2024

FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unsupervised Event-Based Video Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Manifold Sampling for Differentiable Uncertainty in Radiance Fields.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
AvatarStudio: Text-Driven Editing of 3D Dynamic Human Head Avatars.
ACM Trans. Graph., December, 2023

Diffusion Posterior Illumination for Ambiguity-Aware Inverse Rendering.
ACM Trans. Graph., December, 2023

ModalNeRF: Neural Modal Analysis and Synthesis for Free-Viewpoint Navigation in Dynamically Vibrating Scenes.
Comput. Graph. Forum, July, 2023

Approaching human 3D shape perception with neurally mappable models.
CoRR, 2023

ConceptFusion: Open-set Multimodal 3D Mapping.
CoRR, 2023

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023


Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Groundplans: Persistent Neural Scene Representations from a Single Image.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring perceptual straightness in learned visual representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Render Novel Views from Wide-Baseline Stereo Pairs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement.
CoRR, 2022

HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering.
CoRR, 2022

Advances in Neural Rendering.
Comput. Graph. Forum, 2022

Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination.
Proceedings of the Computer Vision - ECCV 2022, 2022

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VoRF: Volumetric Relightable Faces.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

gCoRF: Generative Compositional Radiance Fields.
Proceedings of the International Conference on 3D Vision, 2022

GAN2X: Non-Lambertian Inverse Rendering of Image GANs.
Proceedings of the International Conference on 3D Vision, 2022

2021
Self-supervised reconstruction and synthesis of faces.
PhD thesis, 2021

PhotoApp: photorealistic appearance editing of head portraits.
ACM Trans. Graph., 2021


Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Efficient and Differentiable Shadow Computation for Inverse Problems.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Monocular Real-Time Full Body Capture With Inter-Part Correlations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

i3DMM: Deep Implicit 3D Morphable Model of Human Heads.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Complete 3D Morphable Face Models From Images and Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Monocular Reconstruction of Neural Face Reflectance Fields.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
PIE: portrait image embedding for semantic control.
ACM Trans. Graph., 2020

Egocentric videoconferencing.
ACM Trans. Graph., 2020

3D Morphable Face Models - Past, Present, and Future.
ACM Trans. Graph., 2020

High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video.
CoRR, 2020

State of the Art on Neural Rendering.
Comput. Graph. Forum, 2020

DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects.
Proceedings of the Computer Vision - ECCV 2020, 2020

PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations.
Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Voice Puppetry: Audio-Driven Facial Reenactment.
Proceedings of the Computer Vision - ECCV 2020, 2020

StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Text-based editing of talking-head video.
ACM Trans. Graph., 2019

EgoFace: Egocentric Face Performance Capture and Videorealistic Reenactment.
CoRR, 2019

FML: Face Model Learning From Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep video portraits.
ACM Trans. Graph., 2018

A Hybrid Model for Identity Obfuscation by Face Replacement.
Proceedings of the Computer Vision - ECCV 2018, 2018

Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

InverseFaceNet: Deep Monocular Inverse Face Rendering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image.
CoRR, 2017

MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction.
Proceedings of the IEEE International Conference on Computer Vision, 2017


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