2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Zooming into Comics: Region-Aware RL Improves Fine-Grained Comic Understanding in Vision-Language Models
Yule Chen, Yufan Ren, Sabine Süsstrunk
Complex visual narratives, such as comics, present a significant challenge to Vision-Language Models (VLMs). Despite excelling on natural images, VLMs often struggle with stylized…
Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
Junlin Han, Shengbang Tong, David Fan +4
Large Language Models (LLMs), despite being trained on text alone, surprisingly develop rich visual priors. These priors allow latent visual capabilities to be unlocked for vision…
VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models
Yufan Ren, Konstantinos Tertikas, Shalini Maiti +4
Large Vision-Language Models (LVLMs) struggle with puzzles, which require precise perception, rule comprehension, and logical reasoning. Assessing and enhancing their performance i…
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
Yufan Ren, Zicong Jiang, Tong Zhang +2
Text-guided image editing using Text-to-Image (T2I) models often fails to yield satisfactory results, frequently introducing unintended modifications, such as the loss of local det…