Confidence Guided Network For Atmospheric Turbulence Mitigation. - Nithin Gopalakrishnan Nair; Vishal M. Patel (ICIP, 2021)

A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration. - Nithin Gopalakrishnan Nair; Kangfu Mei; Vishal M. Patel (ICIP, 2022)

NBD-GAP: Non-Blind Image Deblurring without Clean Target Images. - Nithin Gopalakrishnan Nair; Rajeev Yasarla; Vishal M. Patel (ICIP, 2022)

Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models. - Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2022)

DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. - Wele Gedara Chaminda Bandara; Nithin Gopalakrishnan Nair; Vishal M. Patel (CoRR, 2022)

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models. - Nithin Gopalakrishnan Nair; Kangfu Mei; Vishal M. Patel (CoRR, 2022)

Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models. - Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2022)

Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors. - Kangfu Mei; Nithin Gopalakrishnan Nair; Vishal M. Patel (CoRR, 2022)

Uncertainty Aware Kernel Estimation and Edge Preserving Attention for Blind Image Deblurring. - Nithin Gopalakrishnan Nair; Vishal M. Patel (CAMSAP, 2023)

Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models. - Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CVPR, 2023)

T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models. - Nithin Gopalakrishnan Nair; Vishal M. Patel (FG, 2023)

Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis. - Nithin Gopalakrishnan Nair; Anoop Cherian; Suhas Lohit; Ye Wang 001; Toshiaki Koike-Akino; Vishal M. Patel; Tim K. Marks (ICCV, 2023)

Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models. - Yasiru Ranasinghe; Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2023)

SAR Despeckling Using a Denoising Diffusion Probabilistic Model. - Malsha V. Perera; Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (IEEE Geosci. Remote. Sens. Lett., 2023)

CrowdDiff: Multi-Hypothesis Crowd Density Estimation Using Diffusion Models. - Yasiru Ranasinghe; Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CVPR, 2024)

MaxFusion: Plug&Play Multi-modal Generation in Text-to-Image Diffusion Models. - Nithin Gopalakrishnan Nair; Jeya Maria Jose Valanarasu; Vishal M. Patel (ECCV (38), 2024)

AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation. - Jay N. Paranjape; Nithin Gopalakrishnan Nair; Shameema Sikder; S. Swaroop Vedula; Vishal M. Patel (MIUA (2), 2024)

Diffuse and Restore: A Region-Adaptive Diffusion Model for Identity-Preserving Blind Face Restoration. - Maitreya Suin; Nithin Gopalakrishnan Nair; Chun Pong Lau 001; Vishal M. Patel; Rama Chellappa (WACV, 2024)

Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers. - Nithin Gopalakrishnan Nair; Jeya Maria Jose Valanarasu; Vishal M. Patel (CoRR, 2024)

Dreamguider: Improved Training free Diffusion-based Conditional Generation. - Nithin Gopalakrishnan Nair; Vishal M. Patel (CoRR, 2024)

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration. - Sudarshan Rajagopalan; Nithin Gopalakrishnan Nair; Jay N. Paranjape; Vishal M. Patel (CVPR, 2025)

Diffusion-Derep: Removing Sample Replication During Diffusion Inference. - Nithin Gopalakrishnan Nair; Vibashan Vishnukuamr Sharmini; Vishal M. Patel (ISBI, 2025)

MedDataset: Synthesizing Infinite Image and Segmentation Data Using Diffusion Models. - Vibashan Vishnukuamr Sharmini; Nithin Gopalakrishnan Nair; Vishal M. Patel (ISBI, 2025)

DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection. - Wele Gedara Chaminda Bandara; Nithin Gopalakrishnan Nair; Vishal M. Patel (WACV, 2025)

Improving Conditional Diffusion Models through Re-Noising from Unconditional Diffusion Priors. - Kangfu Mei; Nithin Gopalakrishnan Nair; Vishal M. Patel (WACV, 2025)

PETALface: Parameter Efficient Transfer Learning for Low-Resolution Face Recognition. - Kartik Narayan; Nithin Gopalakrishnan Nair; Jennifer Xu; Rama Chellappa; Vishal M. Patel (WACV, 2025)

Scaling Transformer-Based Novel View Synthesis Models with Token Disentanglement and Synthetic Data. - Nithin Gopalakrishnan Nair; Srinivas Kaza; Xuan Luo; Vishal M. Patel; Stephen Lombardi; Jungyeon Park (CoRR, 2025)

Scale-Wise VAR is Secretly Discrete Diffusion. - Amandeep Kumar; Nithin Gopalakrishnan Nair; Vishal M. Patel (CoRR, 2025)