Search Results for author: Yiyang Ma

Found 6 papers, 3 papers with code

Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery

1 code implementation25 Jan 2024 Jialu Sui, Yiyang Ma, Wenhan Yang, Xiaokang Zhang, Man-on Pun, Jiaying Liu

The presence of cloud layers severely compromises the quality and effectiveness of optical remote sensing (RS) images.

Cloud Removal Image Generation

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution

no code implementations24 May 2023 Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu

Diffusion models, as a kind of powerful generative model, have given impressive results on image super-resolution (SR) tasks.

Efficient Exploration Image Super-Resolution

MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

1 code implementation CVPR 2023 Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo

To generate joint audio-video pairs, we propose a novel Multi-Modal Diffusion model (i. e., MM-Diffusion), with two-coupled denoising autoencoders.

Denoising FAD +1

AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation

1 code implementation7 Sep 2022 Yiyang Ma, Huan Yang, Bei Liu, Jianlong Fu, Jiaying Liu

To address this issue, we propose a Prompt-based Cross-Modal Generation Framework (PCM-Frame) to leverage two powerful pre-trained models, including CLIP and StyleGAN.

Image Generation

Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning

no code implementations27 Jul 2022 Shixing Yu, Yiyang Ma, Wenhan Yang, Wei Xiang, Jiaying Liu

Extensive qualitative and quantitative evaluations, as well as ablation studies, demonstrate that, via introducing meta-learning in our framework in such a well-designed way, our method not only achieves superior performance to state-of-the-art frame interpolation approaches but also owns an extended capacity to support the interpolation at an arbitrary time-step.

Meta-Learning Optical Flow Estimation +1

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