activity
20182026
most citedRestormer: Efficient Transformer for High-Resolution Image Restoration

195 citations · 558 across the 14 of their papers we have counts for

collaborators

18 papers

cs.CV2026

Reasoning with Image Generation

Nishad Singhi, Hector Garcia Rodriguez, Aditya Arora +2

Chain-of-thought reasoning has revolutionized natural language processing by enabling large language models (LLMs) to decompose problems into intermediate steps before answering. Y…

cs.CV2026

From Visual Cues to Spoken Narration: Rethinking Audio Description

Akshita Gupta, Aditya Arora, Federico Tombari +2

Audio Description (AD) provides spoken narration of visual events during dialogue gaps, making movies accessible to visually impaired audiences. The problem requires determining bo…

cs.CV2026

ReCap: Lightweight Referential Grounding for Coherent Story Visualization

Aditya Arora, Akshita Gupta, Pau Rodriguez +1

Story Visualization aims to generate a sequence of images that faithfully depicts a textual narrative that preserve character identity, spatial configuration, and stylistic coheren…

eess.IV2025

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution

Aditya Arora, Zhengzhong Tu, Yufei Wang +3

In this paper, we propose GuideSR, a novel single-step diffusion-based image super-resolution (SR) model specifically designed to enhance image fidelity. Existing diffusion-based S…

cs.CV2025

Revisiting Image Fusion for Multi-Illuminant White-Balance Correction

David Serrano-Lozano, Aditya Arora, Luis Herranz +3

White balance (WB) correction in scenes with multiple illuminants remains a persistent challenge in computer vision. Recent methods explored fusion-based approaches, where a neural…

cs.CV2024

Open-Vocabulary Temporal Action Localization using Multimodal Guidance

Akshita Gupta, Aditya Arora, Sanath Narayan +3

Open-Vocabulary Temporal Action Localization (OVTAL) enables a model to recognize any desired action category in videos without the need to explicitly curate training data for all…