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pix2pixHD - Ting-Chun Wang - CVPR 2018 Title: High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Author: Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, A. Tao, J. Kautz, and B. Catanzaro Date: Nov. 2017. Arxiv: 1711.11585 Published: CVPR 2018 Coarse-to-fine generator We first train a residual network G1 on ...

pix2pix(PatchGAN) - Isola - CVPR 2017 Title: Image-to-Image Translation with Conditional Adversarial Networks Author: P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros Date: Nov. 2016. Arxiv: 1611.07004 Published: CVPR 2017 Example results on several image-to-image translation problems. In each case we use the same architecture and obj...

Info Title: Glow: Generative Flow with Invertible 1x1 Convolutions Task: Image Generation Author: D. P. Kingma and P. Dhariwal Date: Jul. 2018 Arxiv: 1807.03039 Published: NIPS 2018 Motivation & Design The merits of flow-based models Exact latent-variable inference and log-likelihood evaluation. In VAEs, one is able to inf...

Last 7 years(2012-2019) have seen great progress made in visual understanding. Initially, we classify ImageNet images. Then, object detection and semantic segmentation became the core problems of visual understanding. Recently, the research community payed attention to another new task called panoptic segmentation, which put visual understanding...

Info Title: Content-aware Generative Modeling of Graphic Design Layouts Task: Layout Design Author: X. Zheng, X. Qiao, Y. Cao, and R. W. H. Lau Date: Jul. 2019 Published: SIGGRSPH 2019 Affiliation: CityU HONG KONG Highlights & Drawbacks The first content-aware deep generative model for graphic design layouts, which is able...

Info Title: Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff Task: Image Compression Author: Y. Blau and T. Michaeli Date: Jan. 2019. Arxiv: 1901.07821 Published: ICML 2019 Affiliation: Technion-Israel Institute of Technology Highlights & Drawbacks A theoretical analysis of the Rate-Distortion-Percep...

Xception: Deep Learning with Depthwise Seperable Convolutions - Chollet et al. - 2016 Info Title: Xception: Deep Learning with Depthwise Seperable Convolutions Author: F. Chollet Arxiv: 1610.02357 Date: Oct. 2016 Highlights & Drawbacks Replaced 1×1 convolution and 3×3 convolution in Inception unit with Depth-wise seperable convolu...

Info Title: Semantic Photo Manipulation with a Generative Image Prior Task: Image Manipulation Author: DAVID BAU, HENDRIK STROBELT, JONAS WULFF, BOLEI ZHOU, JUN-YAN ZHU, ANTONIO TORRALBA Date: July. 2019 Published: ACM SIGGRAPH 2019 Affiliation: MIT CSAIL Highlights & Drawbacks Image-specific generator for preserving semant...