AI RESEARCH
DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
arXiv CS.CV
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ArXi:2603.13162v1 Announce Type: cross Diffusion-based image compression has recently shown outstanding perceptual fidelity, yet its practicality is hindered by prohibitive sampling overhead and high memory usage. Most existing diffusion codecs employ U-Net architectures, where hierarchical downsampling forces diffusion to operate in shallow latent spaces (typically with only 8x spatial downscaling), resulting in excessive computation.