Reconstruction from periodic nonlinearities, with applications to HDR imaging. - Viraj Shah; Mohammadreza Soltani; Chinmay Hegde (ACSSC, 2017)

Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees. - Viraj Shah; Chinmay Hegde (ICASSP, 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)

Signal Reconstruction From Modulo Observations. - Viraj Shah; Chinmay Hegde (GlobalSIP, 2019)

Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. - Rakib Hyder; Viraj Shah; Chinmay Hegde; M. Salman Asif (ICASSP, 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)

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 (AAAI, 2020)

TweeNLP: A Twitter Exploration Portal for Natural Language Processing. - Viraj Shah; Shruti Singh 001; Mayank Singh 001 (ACL (demo), 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 (IEEE VIS (Short Papers), 2021)

Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models. - Viraj Shah; Rakib Hyder; M. Salman Asif; Chinmay Hegde (CoRR, 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)

Sparse signal recovery from modulo observations. - Viraj Shah; Chinmay Hegde (EURASIP J. Adv. Signal Process., 2021)

Near Perfect GAN Inversion. - Qianli Feng; Viraj Shah; Raghudeep Gadde; Pietro Perona; Aleix Martinez (CoRR, 2022)

MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN. - Viraj Shah; Svetlana Lazebnik (CoRR, 2022)

Make It So: Steering StyleGAN for Any Image Inversion and Editing. - Anand Bhattad; Viraj Shah; Derek Hoiem; David A. Forsyth (CoRR, 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 (ECCV (1), 2024)

UnZipLoRA: Separating Content and Style from a Single Image. - Chang Liu; Viraj Shah; Aiyu Cui; Svetlana Lazebnik (CoRR, 2024)

Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. - Aiyu Cui; Jay Mahajan; Viraj Shah; Preeti Gomathinayagam; Chang Liu; Svetlana Lazebnik (WACV, 2025)

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. - Viraj Shah; Svetlana Lazebnik; Julien Philip (Trans. Mach. Learn. Res., 2025)

Reference-Guided Identity Preserving Face Restoration. - Mo Zhou; Keren Ye; Viraj Shah; Kangfu Mei; Mauricio Delbracio; Peyman Milanfar; Vishal M. Patel; Hossein Talebi (CoRR, 2025)