activity
20122023
most citedToward Multimodal Image-to-Image Translation

1k citations · 3.1k across the 67 of their papers we have counts for

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Showing 2020 · cs.CVShow all

10 papers · 2 filters

cs.CV2020

Spatially-Adaptive Pixelwise Networks for Fast Image Translation

Tamar Rott Shaham, Michael Gharbi, Richard Zhang +2

We introduce a new generator architecture, aimed at fast and efficient high-resolution image-to-image translation. We design the generator to be an extremely lightweight function o…

cs.CV2020★ 26 cited

Few-shot Image Generation with Elastic Weight Consolidation

Yijun Li, Richard Zhang, Jingwan Lu +1

Few-shot image generation seeks to generate more data of a given domain, with only few available training examples. As it is unreasonable to expect to fully infer the distribution…

cs.CV2020★ 42 cited

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Zongze Wu, Dani Lischinski, Eli Shechtman

We explore and analyze the latent style space of StyleGAN2, a state-of-the-art architecture for image generation, using models pretrained on several different datasets. We first sh…

cs.CV2020

Look here! A parametric learning based approach to redirect visual attention

Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim +2

Across photography, marketing, and website design, being able to direct the viewer's attention is a powerful tool. Motivated by professional workflows, we introduce an automatic me…

cs.CV2020★ 145 cited

Swapping Autoencoder for Deep Image Manipulation

Taesung Park, Jun-Yan Zhu, Oliver Wang +4

Deep generative models have become increasingly effective at producing realistic images from randomly sampled seeds, but using such models for controllable manipulation of existing…

cs.CV2020★ 7 cited

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Yu Zeng, Zhe Lin, Jimei Yang +3

Existing image inpainting methods often produce artifacts when dealing with large holes in real applications. To address this challenge, we propose an iterative inpainting method w…

cs.CV2020

State of the Art on Neural Rendering

Ayush Tewari, Ohad Fried, Justus Thies +16

Efficient rendering of photo-realistic virtual worlds is a long standing effort of computer graphics. Modern graphics techniques have succeeded in synthesizing photo-realistic imag…

cs.CV2020★ 321 cited

MakeItTalk: Speaker-Aware Talking-Head Animation

Yang Zhou, Xintong Han, Eli Shechtman +3

We present a method that generates expressive talking heads from a single facial image with audio as the only input. In contrast to previous approaches that attempt to learn direct…

cs.CV2020

Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement

Sai Bi, Kalyan Sunkavalli, Federico Perazzi +3

We present a method to improve the visual realism of low-quality, synthetic images, e.g. OpenGL renderings. Training an unpaired synthetic-to-real translation network in image spac…

cs.CV2020

Lifespan Age Transformation Synthesis

Roy Or-El, Soumyadip Sengupta, Ohad Fried +2

We address the problem of single photo age progression and regression-the prediction of how a person might look in the future, or how they looked in the past. Most existing aging m…