activity
20162026
most citedConstrained Graphic Layout Generation via Latent Optimization

77 citations · 167 across the 34 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Multimodal Color Recommendation in Vector Graphic Documents

Qianru Qiu, Xueting Wang, Mayu Otani

Color selection plays a critical role in graphic document design and requires sufficient consideration of various contexts. However, recommending appropriate colors which harmonize…

cs.CV2023★ 3 cited

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Mayu Otani, Riku Togashi, Yu Sawai +5

Human evaluation is critical for validating the performance of text-to-image generative models, as this highly cognitive process requires deep comprehension of text and images. How…

cs.CV2023

Towards Flexible Multi-modal Document Models

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra +2

Creative workflows for generating graphical documents involve complex inter-related tasks, such as aligning elements, choosing appropriate fonts, or employing aesthetically harmoni…

cs.CV2023★ 2 cited

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra +2

Controllable layout generation aims at synthesizing plausible arrangement of element bounding boxes with optional constraints, such as type or position of a specific element. In th…

cs.CV2023

Generative Colorization of Structured Mobile Web Pages

Kotaro Kikuchi, Naoto Inoue, Mayu Otani +2

Color is a critical design factor for web pages, affecting important factors such as viewer emotions and the overall trust and satisfaction of a website. Effective coloring require…