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Chengming Feng

2 accepted papers

2025

RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation

IJCAI 2025

Arbitrary style transfer aims to apply the style of any given artistic image to another content image. Still, existing deep learning-based methods often require significant computational costs to generate diverse stylized results. Motivated by this, we propose a novel reinforcement learning-based fr

2023

Controlling Neural Style Transfer with Deep Reinforcement Learning

IJCAI 2023poster

Controlling the degree of stylization in the Neural Style Transfer (NST) is a little tricky since it usually needs hand-engineering on hyper-parameters. In this paper, we propose the first deep Reinforcement Learning (RL) based architecture that splits one-step style transfer into a step-wise proces…

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