Ayush Tewari
27 papers · 2017–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🗺️ Taxonomy Completionist (34) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(19)
🔬
Deep Specialist
(14)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(114)
Top co-authors
Research topics
Computer Vision
(18)
Analysis
(17)
Deep Learning
(15)
Machine Learning
(10)
Learning Types · Machine Learning
(8)
Generation
(7)
Models
(6)
Artificial Intelligence
(5)
Architectures
(5)
Core AI · Artificial Intelligence
(5)
Learning Types · Deep Learning
(4)
Core Methods
(3)
Processing
(3)
Application Areas
(1)
Core AI · Computer Vision
(1)
Keywords
self-supervised learning
(7)
3d reconstruction
(6)
3d face reconstruction
(5)
differentiable rendering
(5)
monocular reconstruction
(4)
neural radiance field
(4)
face reconstruction
(4)
novel view synthesis
(4)
3d morphable model
(3)
neural rendering
(3)
inverse problem
(2)
inverse rendering
(2)
implicit neural representation
(2)
disentangled representation
(2)
neural network
(2)
image reconstruction
(1)
multimodal learning
(1)
computer vision
(1)
frame interpolation
(1)
pose estimation
(1)
Papers
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
ICLR 2024
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions
WACV 2024
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
ECCV 2024
Unsupervised Event-Based Video Reconstruction
WACV 2024
ConceptFusion: Open-set multimodal 3D mapping
RSS 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
NeurIPS 2023
Exploring perceptual straightness in learned visual representations
ICLR 2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
NeurIPS 2023
Learning To Render Novel Views From Wide-Baseline Stereo Pairs
CVPR 2023
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
ICLR 2023
Disentangled3D: Learning a 3D Generative Model With Disentangled Geometry and Appearance From Monocular Images
CVPR 2022
Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination
ECCV 2022
Efficient and Differentiable Shadow Computation for Inverse Problems
ICCV 2021
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
CVPR 2021
Learning Complete 3D Morphable Face Models From Images and Videos
CVPR 2021
Monocular Real-Time Full Body Capture With Inter-Part Correlations
CVPR 2021
Monocular Reconstruction of Neural Face Reflectance Fields
CVPR 2021
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
ICCV 2021
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
ECCV 2020
Neural Voice Puppetry: Audio-driven Facial Reenactment
ECCV 2020
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
ECCV 2020
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images
CVPR 2020
FML: Face Model Learning From Videos
CVPR 2019
A Hybrid Model for Identity Obfuscation by Face Replacement
ECCV 2018
InverseFaceNet: Deep Monocular Inverse Face Rendering
CVPR 2018
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz
CVPR 2018
MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
ICCV 2017