Assessing Learned Models for Phase-only Hologram Compression
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916860445851648 |
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| author | Peng, Zicong Zhan, Yicheng Spjut, Josef Akşit, Kaan |
| author_facet | Peng, Zicong Zhan, Yicheng Spjut, Josef Akşit, Kaan |
| contents | We evaluate the performance of four common learned models utilizing INR and VAE structures for compressing phase-only holograms in holographic displays. The evaluated models include a vanilla MLP, SIREN, and FilmSIREN, with TAESD as the representative VAE model. Our experiments reveal that a pretrained image VAE, TAESD, with 2.2M parameters struggles with phase-only hologram compression, revealing the need for task-specific adaptations. Among the INRs, SIREN with 4.9k parameters achieves %40 compression with high quality in the reconstructed 3D images (PSNR = 34.54 dB). These results emphasize the effectiveness of INRs and identify the limitations of pretrained image compression VAEs for hologram compression task. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_06646 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Assessing Learned Models for Phase-only Hologram Compression Peng, Zicong Zhan, Yicheng Spjut, Josef Akşit, Kaan Graphics We evaluate the performance of four common learned models utilizing INR and VAE structures for compressing phase-only holograms in holographic displays. The evaluated models include a vanilla MLP, SIREN, and FilmSIREN, with TAESD as the representative VAE model. Our experiments reveal that a pretrained image VAE, TAESD, with 2.2M parameters struggles with phase-only hologram compression, revealing the need for task-specific adaptations. Among the INRs, SIREN with 4.9k parameters achieves %40 compression with high quality in the reconstructed 3D images (PSNR = 34.54 dB). These results emphasize the effectiveness of INRs and identify the limitations of pretrained image compression VAEs for hologram compression task. |
| title | Assessing Learned Models for Phase-only Hologram Compression |
| topic | Graphics |
| url | https://arxiv.org/abs/2507.06646 |