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20202025
most citedRe-IQA: Unsupervised Learning for Image Quality Assessment in the Wild

4 citations · 7 across the 7 of their papers we have counts for

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cs.CV2025

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps

Sandeep Mishra, Yasamin Jafarian, Andreas Lugmayr +5

Photographs of people taken by professional photographers typically present the person in beautiful lighting, with an interesting pose, and flattering quality. This is unlike commo…

cs.CV2025

VIDMP3: Video Editing by Representing Motion with Pose and Position Priors

Sandeep Mishra, Oindrila Saha, Alan C. Bovik

Motion-preserved video editing is crucial for creators, particularly in scenarios that demand flexibility in both the structure and semantics of swapped objects. Despite its potent…

cs.CV2024

YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals

Sandeep Mishra, Oindrila Saha, Alan C. Bovik

3D generation guided by text-to-image diffusion models enables the creation of visually compelling assets. However previous methods explore generation based on image or text. The b…

cs.CV2024

C3DAG: Controlled 3D Animal Generation using 3D pose guidance

Sandeep Mishra, Oindrila Saha, Alan C. Bovik

Recent advancements in text-to-3D generation have demonstrated the ability to generate high quality 3D assets. However while generating animals these methods underperform, often po…

cs.CV2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge

Xiaohong Liu, Xiongkuo Min, Guangtao Zhai +111

This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancemen…

cs.CV2023★ 4 cited

Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild

Avinab Saha, Sandeep Mishra, Alan C. Bovik

Automatic Perceptual Image Quality Assessment is a challenging problem that impacts billions of internet, and social media users daily. To advance research in this field, we propos…

cs.CV2020★ 3 cited

RecSal : Deep Recursive Supervision for Visual Saliency Prediction

Sandeep Mishra, Oindrila Saha

State-of-the-art saliency prediction methods develop upon model architectures or loss functions; while training to generate one target saliency map. However, publicly available sal…