Search Results for author: Min-Chun Hu

Found 3 papers, 1 papers with code

STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing

no code implementations ICCV 2021 Wen-Cheng Chen, Min-Chun Hu, Chu-Song Chen

The STR mechanism treats the spatial transformation as the message passing process, and the relation between the view poses and the routing weights is modeled by an end-to-end trainable neural network.

Imitation Learning for Sentence Generation with Dilated Convolutions Using Adversarial Training

1 code implementation 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) 2019 Jian-Wei Peng, Min-Chun Hu, Chuan-Wang Chang

To deal with this problem, we propose to use two discriminators to provide two different reward signals for constructing a more general imitation learning framework that can be used for sequence generation.

Generative Adversarial Network Imitation Learning +2

SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks

no code implementations2 Apr 2018 Wen-Cheng Chen, Chien-Wen Chen, Min-Chun Hu

Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data.

Generative Adversarial Network

Cannot find the paper you are looking for? You can Submit a new open access paper.