Search Results for author:
Found 10 papers, 7 papers with code
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Can we detect common objects in a variety of image domains without instance-level annotations?
Ranked #5 on
Weakly Supervised Object Detection
on Watercolor2k
(using extra training data)
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
Controllable layout generation aims at synthesizing plausible arrangement of element bounding boxes with optional constraints, such as type or position of a specific element.
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
This paper tackles a new problem setting: reinforcement learning with pixel-wise rewards (pixelRL) for image processing.
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
However, the applications of deep reinforcement learning (RL) for image processing are still limited.
Learning from Synthetic Shadows for Shadow Detection and Removal
To overcome this challenge, we present SynShadow, a novel large-scale synthetic shadow/shadow-free/matte image triplets dataset and a pipeline to synthesize it.
Towards Flexible Multi-modal Document Models
Creative workflows for generating graphical documents involve complex inter-related tasks, such as aligning elements, choosing appropriate fonts, or employing aesthetically harmonious colors.
Generative Colorization of Structured Mobile Web Pages
The web page colorization problem is then formalized as a task of estimating plausible color styles for a given web page content with a given hierarchical structure of the elements.
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation
Herein, we propose Augmented Cyclic Consistency Regularization (ACCR), a novel regularization method for unpaired I2I translation.
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
We show that a simple retrieval augmentation can significantly improve the generation quality.
LayoutFlow: Flow Matching for Layout Generation
Finding a suitable layout represents a crucial task for diverse applications in graphic design.
