Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
2021Year
2Citations
1Top-tier citations
Abstract
utkarshojha.github.io/inter-domain-gan/ Figure 1: Each block above follows [Appearance, Shape → Output]. We propose a generative model that disentangles and combines shape and appearance factors across multiple domains, to create hybrid images which do not exist in any single domain.
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- A Simple Framework for Contrastive Learning of Visual RepresentationsTing Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. HintonICML 2020 · 24,064 citations
- Few-Shot Unsupervised Image-to-Image TranslationMing-Yu Liu, Xun Huang, Arun Mallya, Tero Karras et al.ICCV 2019 · 668 citations
- MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image GenerationYuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae LeeCVPR 2020
- StarGAN v2: Diverse Image Synthesis for Multiple DomainsYunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo HaCVPR 2020
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