Viraj Shah

According to our database, Viraj Shah authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images.

Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana Lazebnik

CoRR, 2023

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs.

Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani

CoRR, 2023

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition.

Viraj Shah, Svetlana Lazebnik, Julien Philip

CoRR, 2023

Make It So: Steering StyleGAN for Any Image Inversion and Editing.

Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth

CoRR, 2023

2022

MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN.

Viraj Shah, Svetlana Lazebnik

CoRR, 2022

Near Perfect GAN Inversion.

Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez

CoRR, 2022

2021

Sparse signal recovery from modulo observations.

Viraj Shah, Chinmay Hegde

EURASIP J. Adv. Signal Process., 2021

Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation.

Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie

CoRR, 2021

Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models.

Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde

CoRR, 2021

CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data.

Kalina Borkiewicz, Viraj Shah, Jill P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter

Proceedings of the 2021 IEEE Visualization Conference, 2021

TweeNLP: A Twitter Exploration Portal for Natural Language Processing.

Viraj Shah, Shruti Singh, Mayank Singh

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models.

Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Encoding Invariances in Deep Generative Models.

Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CoRR, 2019

Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval.

Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif

Proceedings of the IEEE International Conference on Acoustics, 2019

Signal Reconstruction From Modulo Observations.

Viraj Shah, Chinmay Hegde

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Physics-aware Deep Generative Models for Creating Synthetic Microstructures.

Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CoRR, 2018

Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees.

Viraj Shah, Chinmay Hegde

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Reconstruction from periodic nonlinearities, with applications to HDR imaging.

Viraj Shah, Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017