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Found 6 papers, 5 papers with code
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
3) The story visualization and continuation models are trained and inferred independently, which is not user-friendly.
A Heterogeneous Parallel Non-von Neumann Architecture System for Accurate and Efficient Machine Learning Molecular Dynamics
This paper proposes a special-purpose system to achieve high-accuracy and high-efficiency machine learning (ML) molecular dynamics (MD) calculations.
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
The complex scene understanding ability of CLIP enables the discriminator to accurately assess the image quality.
Ranked #3 on
Text-to-Image Generation
on CUB
DE-Net: Dynamic Text-guided Image Editing Adversarial Networks
To solve these limitations, we propose: (i) a Dynamic Editing Block (DEBlock) which composes different editing modules dynamically for various editing requirements.
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
To these ends, we propose a simpler but more effective Deep Fusion Generative Adversarial Networks (DF-GAN).
Ranked #4 on
Text-to-Image Generation
on CUB
(Inception score metric)
SiENet: Siamese Expansion Network for Image Extrapolation
In this paper, a novel two-stage siamese adversarial model for image extrapolation, named Siamese Expansion Network (SiENet) is proposed.
