Search Results for author: Kunpeng Song

Found 5 papers, 4 papers with code

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

3 code implementations ICLR 2021 Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

Training Generative Adversarial Networks (GAN) on high-fidelity images usually requires large-scale GPU-clusters and a vast number of training images.

Image Generation

Self-Supervised Sketch-to-Image Synthesis

1 code implementation16 Dec 2020 Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

Moreover, with the proposed sketch generator, the model shows a promising performance on style mixing and style transfer, which require synthesized images to be both style-consistent and semantically meaningful.

Image Generation Self-Supervised Learning +1

TIME: Text and Image Mutual-Translation Adversarial Networks

no code implementations27 May 2020 Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal

Focusing on text-to-image (T2I) generation, we propose Text and Image Mutual-Translation Adversarial Networks (TIME), a lightweight but effective model that jointly learns a T2I generator G and an image captioning discriminator D under the Generative Adversarial Network framework.

Image Captioning Language Modelling +1

Sketch-to-Art: Synthesizing Stylized Art Images From Sketches

1 code implementation26 Feb 2020 Bingchen Liu, Kunpeng Song, Ahmed Elgammal

We propose a new approach for synthesizing fully detailed art-stylized images from sketches.

BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning

1 code implementation10 Oct 2017 Yuqing Zhu, Jianxun Liu, Mengying Guo, Yungang Bao, Wenlong Ma, Zhuoyue Liu, Kunpeng Song, Yingchun Yang

To help users tap the performance potential of systems, we present BestConfig, a system for automatically finding a best configuration setting within a resource limit for a deployed system under a given application workload.

Performance Databases Distributed, Parallel, and Cluster Computing Software Engineering

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