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20192026
most citedSpatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

15 citations · 38 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

BurstGP: Enhancing Raw Burst Image Super Resolution with Generative Priors

Dong Huo, Tristan Aumentado-Armstrong, Samrudhdhi B. Rangrej +8

Burst image super resolution (BISR) aims to construct a single high-resolution (HR) image by aggregating information from multiple low-resolution (LR) frames, relying on temporal r…

cs.CV2026

Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration

Amirhossein Kazerouni, Maitreya Suin, Tristan Aumentado-Armstrong +6

Recent advances in image restoration have enabled high-fidelity recovery of faces from degraded inputs using reference-based face restoration models (Ref-FR). However, such methods…

cs.CV2026

Zero-Shot Personalization of Objects via Textual Inversion

Aniket Roy, Maitreya Suin, Rama Chellappa

Recent advances in text-to-image diffusion models have substantially improved the quality of image customization, enabling the synthesis of highly realistic images. Despite this pr…

cs.CV2025

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance

Aniket Roy, Maitreya Suin, Ketul Shah +1

Low-Rank Adaptation (LoRA) has gained prominence as a computationally efficient method for fine-tuning generative models, enabling distinct visual concept synthesis with minimal ov…

cs.CV2022

Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation

Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan

With an unprecedented increase in the number of agents and systems that aim to navigate the real world using visual cues and the rising impetus for 3D Vision Models, the importance…

cs.CV2021

Spatially-Adaptive Image Restoration using Distortion-Guided Networks

Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan +1

We present a general learning-based solution for restoring images suffering from spatially-varying degradations. Prior approaches are typically degradation-specific and employ the…