most citedFracking Deep Convolutional Image Descriptors

64 citations · 66 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GR2023

Diffusion-based Holistic Texture Rectification and Synthesis

Guoqing Hao, Satoshi Iizuka, Kensho Hara +3

We present a novel framework for rectifying occlusions and distortions in degraded texture samples from natural images. Traditional texture synthesis approaches focus on generating…

cs.CV2023

Controllable Multi-domain Semantic Artwork Synthesis

Yuantian Huang, Satoshi Iizuka, Edgar Simo-Serra +1

We present a novel framework for multi-domain synthesis of artwork from semantic layouts. One of the main limitations of this challenging task is the lack of publicly available seg…

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.CV20232 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…

cs.CV201464 cited

Fracking Deep Convolutional Image Descriptors

Edgar Simo-Serra, Eduard Trulls, Luis Ferraz +2

In this paper we propose a novel framework for learning local image descriptors in a discriminative manner. For this purpose we explore a siamese architecture of Deep Convolutional…