AI RESEARCH

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion

arXiv CS.CV

ArXi:2605.17759v1 Announce Type: new To circumvent the inherent fidelity bottlenecks and optimization misalignment of VAE-based latent diffusion, pixel-space diffusion models have emerged as a compelling end-to-end paradigm. However, existing pixel diffusion models often struggle to balance computational efficiency with the preservation of high-frequency details. They frequently resort to patch-based compression or restricted local decoding, leading to a "spectral compromise" where high-frequency and fine-grained pixel information are suppressed.