Papers › NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency

29 Jun 2023arXiv:2306.16661archive 2025-07-28

Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim

We introduce NaturalInversion, a novel model inversion-based method to synthesize images that agrees well with the original data distribution without using real data. In NaturalInversion, we propose: (1) a Feature Transfer Pyramid which uses enhanced image prior of the original data by combining the multi-scale feature maps extracted from the pre-trained classifier, (2) a one-to-one approach generative model where only one batch of images are synthesized by one generator to bring the non-linearity to optimization and to ease the overall optimizing process, (3) learnable Adaptive Channel Scaling parameters which are end-to-end trained to scale the output image channel to utilize the original image prior further. With our NaturalInversion, we synthesize images from classifiers trained on CIFAR-10/100 and show that our images are more consistent with original data distribution than prior works by visualization and additional analysis. Furthermore, our synthesized images outperform prior works on various applications such as knowledge distillation and pruning, demonstrating the effectiveness of our proposed method.

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Feature_Decoder kdst-team/naturalinversion/NaturalInversion.py official repository ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only · 44f4e1f9f398c03f · report
Generator kdst-team/naturalinversion/NaturalInversion.py official repository unverified no licence file found · pointer only · ff7b5c1e9d01f355 · report
NaturalInversionFeatureHook kdst-team/naturalinversion/NaturalInversion.py official repository unverified no licence file found · pointer only · 569b4d0c872e9e16 · report
get_images kdst-team/naturalinversion/NaturalInversion.py official repository unverified no licence file found · pointer only · 6d2aad101bf4246e · report

Tasks

Image GenerationKnowledge Distillation

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Methods

Knowledge Distillation

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