activity
20152026
most citedAdversarial Generation of Natural Language

101 citations · 141 across the 24 of their papers we have counts for

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Showing cs.CVShow all

9 papers · 1 filter

cs.CV2025

WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation

Rabiul Awal, Mahsa Massoud, Aarash Feizi +10

We present WebMMU, a multilingual benchmark that evaluates three core web tasks: (1) website visual question answering, (2) code editing involving HTML/CSS/JavaScript, and (3) mock…

cs.CV2025

The Promise of RL for Autoregressive Image Editing

Saba Ahmadi, Rabiul Awal, Ankur Sikarwar +8

While image generation techniques are now capable of producing high-quality images that respect prompts which span multiple sentences, the task of text-guided image editing remains…

cs.CV2025

Rendering-Aware Reinforcement Learning for Vector Graphics Generation

Juan A. Rodriguez, Haotian Zhang, Abhay Puri +12

Scalable Vector Graphics (SVG) offer a powerful format for representing visual designs as interpretable code. Recent advances in vision-language models (VLMs) have enabled high-qua…

cs.CV2025

StarFlow: Generating Structured Workflow Outputs From Sketch Images

Patrice Bechard, Chao Wang, Amirhossein Abaskohi +6

Workflows are a fundamental component of automation in enterprise platforms, enabling the orchestration of tasks, data processing, and system integrations. Despite being widely use…

cs.CV2025

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction

Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin +11

Autonomous agents that navigate Graphical User Interfaces (GUIs) to automate tasks like document editing and file management can greatly enhance computer workflows. While existing…

cs.CV2024

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text

Tianyu Zhang, Suyuchen Wang, Lu Li +6

We introduce Visual Caption Restoration (VCR), a novel vision-language task that challenges models to accurately restore partially obscured texts using pixel-level hints within ima…