activity
20232026
most citedviz2viz: Prompt-driven stylized visualization generation using a diffusion model

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

collaborators

8 papers

cs.CR2026

A Corpus of Real Scam- and Spam-Call Conversations from an Active Voice-Agent Honeypot

Ethan Traister, Dennis Tsang Ng, Siyu Zhang +7

Real conversations between fraudsters and their targets are among the most informative artifacts for studying telephone scams, yet also the scarcest: passive honeypots overwhelming…

cs.HC2026

AInimation: Animating from Prompt to AI-Generated Responses

Jiaqi Wu, Damien Masson

We explore the use of animated transitions between a prompt and an AI-generated response. After reviewing 800 examples of prompts and responses, we devise a taxonomy of animated tr…

cs.CV2026

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

Kidus Zewde, Simiao Ren, Xingyu Shen +6

The release of GPT-image-2 by OpenAI marks a watershed moment in AI-generated imagery: the boundary between photographic reality and synthetic content has never been more difficult…

cs.CV2026

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents

Jiaqi Wu, Yuchen Zhou, Dennis Tsang Ng +5

OpenAI's GPT-Image-2 has effectively erased the visual boundary between authentic and AI-edited document images: a single number on a receipt can be replaced in under a second for…

cs.CV2026

Hitem3D 2.0: Multi-View Guided Native 3D Texture Generation

Huiang He, Shengchu Zhao, Jianwen Huang +7

Although recent advances have improved the quality of 3D texture generation, existing methods still struggle with incomplete texture coverage, cross-view inconsistency, and misalig…

cs.CV2026

AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents

Jiaqi Wu, Yuchen Zhou, Muduo Xu +6

We present AIForge-Doc, the first dedicated benchmark targeting exclusively diffusion-model-based inpainting in financial and form documents with pixel-level annotation. Existing d…

cs.HC2024

Exploring Bridges Between Algorithmic and AI-generated Art

Jiaqi Wu, Eytan Adar

In this paper, we bridge algorithmic and AI art by adding functionality to the creative coding environment. We create two systems that demonstrate how AI features can enhance algor…

cs.HC2023★ 4 cited

viz2viz: Prompt-driven stylized visualization generation using a diffusion model

Jiaqi Wu, John Joon Young Chung, Eytan Adar

Creating stylized visualization requires going beyond the limited, abstract, geometric marks produced by most tools. Rather, the designer builds stylized idioms where the marks are…