ICCV 2019: Face Editing and Manipulation
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
(a) Our framework (b) 2D and 3D projection of 5000 facial structure representations. Each color denotes a cluster, a more intuitive illustration of our approach is to map each cluster to a Gaussian prior. extending the capacity of C-VAE constrained by single prior.
Additive Memor...
Few-shot Video-to-Video Synthesis
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Title: Few-shot Video-to-Video Synthesis
Task: Video-to-Video Translation
Author: Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
Date: Oct. 2019
Published: NIPS 2019
Abstract
Video-to-video synthesis (vid2vid) aims at converting an input semantic video, such as videos of human poses or segment...
Few-Shot Unsupervised Image-to-Image Translation
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Title: Few-Shot Unsupervised Image-to-Image Translation
Task: Image-to-Image Translation
Author: Ming-Yu Liu Xun Huang Arun Mallya Tero Karras Timo Aila Jaakko Lehtinen Jan Kautz
Date: May 2019
Arxiv: 1905.01723
Published: ICCV 2019
Abstract
Unsupervised image-to-image translation methods learn to map imag...
ICCV 2019: Image and Video Inpainting
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow
Structure(edge-preserved smoothing) Generator + Apperace Flow for Texture Generation
Overview of our StructureFlow. Our model first generates global structures (i.e. edge-preserved smooth images) using structure reconstructor. Then texture generator is used to yield high-frequ...
ICCV 2019: Image-to-Image Translation
Guided Image-to-Image Translation With Bi-Directional Feature Transformation
In this work, the authors propose to apply the conditioning operation in both direction with information flowing not only from the guidance image to the input image, but from the input image to the guidance image as well. Second, they extend the existing feature-wise f...
SinGAN: Learning a Generative Model From a Single Natural Image - ICCV 2019 - PyTorch
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Title: SinGAN: Learning a Generative Model From a Single Natural Image
Task: Image Synthesis
Author: Tamar Rott Shaham, Tali Dekel, Tomer Michaeli
Date: May 2019
Arxiv: 1905.01164
Published: ICCV 2019(Best Paper Award)
Highlights
Zero-Shot learning pipeline from single image
Wild applications for super-resolution, pain...
COCO-GAN: Generation by Parts via Conditional Coordinating - Chieh Hubert Lin - ICCV 2019
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Title: COCO-GAN: Generation by Parts via Conditional Coordinating
Task: Image Generation
Author: Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
Date: Apr. 2019
Arxiv: 1904.00284
Published: ICCV 2019
Highlights
Discriminator with auxiliary task for content consistency(latent vecto...
InGAN: Capturing and Remapping the DNA of a Natural Image - Shocher - ICCV 2019
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Title: InGAN: Capturing and Remapping the “DNA” of a Natural Image
Task: Image Genration
Author: Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani
Date: Dec. 2018
Arxiv: 1812.00231
Published: ICCV 2019
Abstract
Generative Adversarial Networks (GANs) typically learn a distribution of images in a large image dataset, and...
Specifying Object Attributes and Relations in Interactive Scene Generation - Ashual - ICCV 2019
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Title: Specifying Object Attributes and Relations in Interactive Scene Generation
Task: Image Generation
Author: Oron Ashual, Lior Wolf
Date: Sep. 2019
Arxiv: 1909.05379
Published: ICCV 2019(Best Paper Award Honorable Mentions)
Abstract
We introduce a method for the generation of images from an input scene graph. The method...
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis - NIPS 2019
Info
Title: Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Task: Image Generation
Date: Oct. 2019
Arxiv: 1910.06809
Published: NIPS 2019
Abstract
Semantic image synthesis aims at generating photorealistic images from semantic layouts. Previous approaches with conditional generative advers...
104 post articles, 11 pages.