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20242026
most citedA Survey on Mechanistic Interpretability for Multi-Modal Foundation Models

1 citations · 1 across the 12 of their papers we have counts for

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cs.CV2026

Personalized Image Generation with Reasoning and Reflection

Bo Ni, Ngoc N. Tran, Qinwen Ge +10

Personalized image generation has remained narrowly focused on conditional synthesis from curated visual exemplars, rather than capturing who a user is. In practice, however, a use…

cs.CV2026

A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss

Suryaansh Jain, Rahasya Barkur, Vishal G +8

An image may be worth a thousand words, but most captioning models describe it in only a few. Modern vision-language models produce fluent high-level captions, yet routinely miss t…

cs.CV2026

JigShape: Evaluating Visual-Geometric Reasoning in VLMs through Jigsaw Puzzles

Shawn Li, Wei Yang, Jike Zhong +11

Jigsaw puzzle solving requires jointly reasoning about visual content and geometric constraints, yet existing benchmarks use rectangular cuts that create ambiguous ground truth in…

cs.CV2026

InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions

Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen +27

Generating long-form storytelling videos with consistent visual narratives remains a significant challenge in video synthesis. We present a novel framework, dataset, and a model th…

cs.CV2025

SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control

Arman Zarei, Samyadeep Basu, Mobina Pournemat +3

Instruction-based image editing models have recently achieved impressive performance, enabling complex edits to an input image from a multi-instruction prompt. However, these model…