Multimodal Unsupervised Image-To-Image Translation
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Benchmarks
AFHQ
CelebA-HQ
Edge-to-Handbags
Edge-to-Shoes
Cats-and-Dogs
EPFL NIR-VIS
Most implemented
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Multimodal Unsupervised Image-to-Image Translation
Unsupervised Image-to-Image Translation Networks
Diverse Image-to-Image Translation via Disentangled Representations
Lifespan Age Transformation Synthesis
Papers
Wavelet-based Unsupervised Label-to-Image Translation
Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a semantic layout is used to generate a photorealistic image. State-of-the-art conditional Generative Adversarial Networks (GANs) need a hu…
Image GenerationImage-to-Image TranslationMultimodal Unsupervised Image-To-Image TranslationTranslation+1A Style-aware Discriminator for Controllable Image Translation
Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to implausible results. This limitation largel…
Image ManipulationImage-to-Image TranslationMultimodal Unsupervised Image-To-Image TranslationUnsupervised Image-To-Image TranslationImage-to-image Translation via Hierarchical Style Disentanglement
Recently, image-to-image translation has made significant progress in achieving both multi-label (\ie, translation conditioned on different labels) and multi-style (\ie, generation with diverse styles) tasks. However, du…
DisentanglementImage-to-Image TranslationMultimodal Unsupervised Image-To-Image TranslationTranslationBreaking the Cycle - Colleagues Are All You Need
This paper proposes a novel approach to performing image-to-image translation between unpaired domains. Rather than relying on a cycle constraint, our method takes advantage of collaboration between various GANs. This re…
AllImage-to-Image TranslationMultimodal Unsupervised Image-To-Image TranslationTranslation+1Lifespan Age Transformation Synthesis
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 methods are limited to changing the textu…
Face Age EditingGenerative Adversarial NetworkHuman AgingImage Manipulation+4High-Resolution Daytime Translation Without Domain Labels
Modeling daytime changes in high resolution photographs, e.g., re-rendering the same scene under different illuminations typical for day, night, or dawn, is a challenging image manipulation task. We present the high-reso…
Image ManipulationImage Super-ResolutionImage-to-Image TranslationMultimodal Unsupervised Image-To-Image Translation+4