CV-HoloSR uses a complex-valued residual dense network, depth-aware perceptual loss, and complex LoRA fine-tuning to perform hologram super-resolution for volumetric upsampling, achieving 32% better LPIPS while maintaining physical depth consistency.
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CV-HoloSR: Hologram to hologram super-resolution through volume-upsampling three-dimensional scenes
CV-HoloSR uses a complex-valued residual dense network, depth-aware perceptual loss, and complex LoRA fine-tuning to perform hologram super-resolution for volumetric upsampling, achieving 32% better LPIPS while maintaining physical depth consistency.