Papers › Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition

Enhancing GAN Performance through Neural Architecture Search and Tensor Decomposition

18 Mar 2024ICASSP 2024 3archive 2025-07-28

Prasanna Reddy Pulakurthi, Mahsa Mozaffari, Sohail A. Dianat, Majid Rabbani, Jamison Heard, Raghuveer Rao

Generative Adversarial Networks (GANs) have emerged as a powerful tool for generating high-fidelity content. This paper presents a new training procedure that leverages Neural Architecture Search (NAS) to discover the optimal architecture for image generation while employing the Maximum Mean Discrepancy (MMD) repulsive loss for adversarial training. Moreover, the generator network is compressed using tensor decomposition to reduce its computational footprint and inference time while preserving its generative performance. Experimental results show improvements of 34% and 28% in the FID score on the CIFAR-10 and STL-10 datasets, respectively, with corresponding footprint reductions of 14× and 31× compared to the best FID score method reported in the literature. The implementation code is available at: https://github.com/PrasannaPulakurthi/MMD-AdversarialNAS.

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Code

PrasannaPulakurthi/MMD-AdversarialNAS mentioned in paperpytorch report

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Tasks

Image Generation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image Generation STL-10 MMD-AdversarialNAS FID 12.91 #6 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS Inception score 11.6 #6 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS Model Size (MB) 19.47 #6 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS (Compressed Large) FID 13.06 #8 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS (Compressed Large) Inception score 11.28 #8 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS (Compressed Large) Model Size (MB) 5.35 #8 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS (Compressed Small) FID 14.84 #11 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS (Compressed Small) Inception score 11.66 #11 of 31 Archive leaderboard report
Image Generation STL-10 MMD-AdversarialNAS (Compressed Small) Model Size (MB) 1.71 #11 of 31 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Neural Architecture Search

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