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20242026
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cs.CV2026

A General-Purpose VLM Can Teach an Astronomy Foundation Model to Better Recognize Galaxy Morphology

Dichang Zhang, Jiaqi Deng, Yixuan Shao +7

Existing astronomy foundation models provide strong galaxy representations, but adapting them to new survey conditions and survey-specific morphology recognition tasks still requir…

cs.CV2026

Poppy: Polarization-based Plug-and-Play Guidance for Enhancing Monocular Normal Estimation

Irene Kim, Sai Tanmay Reddy Chakkera, Alexandros Graikos +2

Monocular surface normal estimators trained on large-scale RGB-normal data often perform poorly in the edge cases of reflective, textureless, and dark surfaces. Polarization encode…

cs.CV2026

GriDiT: Factorized Grid-Based Diffusion for Efficient Long Image Sequence Generation

Snehal Singh Tomar, Alexandros Graikos, Arjun Krishna +2

Modern deep learning methods typically treat image sequences as large tensors of sequentially stacked frames. However, is this straightforward representation ideal given the curren…

cs.CV2026

Generating metamers of human scene understanding

Ritik Raina, Abe Leite, Alexandros Graikos +3

Human vision combines low-resolution "gist" information from the visual periphery with sparse but high-resolution information from fixated locations to construct a coherent underst…

cs.CV2025

TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning

Varun Belagali, Saarthak Kapse, Pierre Marza +12

The interpretation of small tiles in large whole slide images (WSI) often needs a larger image context. We introduce TICON, a transformer-based tile representation contextualizer t…

cs.CV2025

Fast constrained sampling in pre-trained diffusion models

Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras

Large denoising diffusion models, such as Stable Diffusion, have been trained on billions of image-caption pairs to perform text-conditioned image generation. As a byproduct of thi…