IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

Huaibo Huang, zhihang li, Ran He, Zhenan Sun, Tieniu Tan

Feb-12-2026, 04:47:49 GMT–Neural Information Processing Systems

We present a novel introspective variational autoencoder (IntroVAE) model for synthesizing high-resolution photographic images. IntroVAE is capable of selfevaluating the quality of its generated samples and improving itself accordingly.

artificial intelligence, inneurip, machine learning, (18 more...)

Neural Information Processing Systems

Feb-12-2026, 04:47:49 GMT

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Country:
- Asia > China
  - Beijing > Beijing (0.05)
- North America > Canada
  - Quebec > Montreal (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.90)

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IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

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