ResQu integrates quaternion wavelet embeddings into latent diffusion models via a novel time-aware encoder to produce higher-quality super-resolved images than prior approaches.
Resshift: Efficient diffusion model for image super-resolution by residual shifting
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NC-Diffusion matches quantization noise to the diffusion forward process, adds an adaptive frequency filter and zero-shot enhancement, and reports superior fidelity on benchmarks.
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Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution
ResQu integrates quaternion wavelet embeddings into latent diffusion models via a novel time-aware encoder to produce higher-quality super-resolved images than prior approaches.
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A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
NC-Diffusion matches quantization noise to the diffusion forward process, adds an adaptive frequency filter and zero-shot enhancement, and reports superior fidelity on benchmarks.