VOSR shows that competitive generative image super-resolution with faithful structures can be achieved by training a diffusion-style model from scratch on visual data alone, using a vision encoder for guidance and a restoration-oriented sampling strategy.
Dit4sr: Taming diffusion trans- former for real-world image super-resolution
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DiTTo reduces optimal restoration trajectory dataset construction from quadratic to linear cost via a simulator and adds order-aware alignment for plug-and-play extensibility to new experts, claiming SOTA quality on multi-degradation benchmarks.
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VOSR: A Vision-Only Generative Model for Image Super-Resolution
VOSR shows that competitive generative image super-resolution with faithful structures can be achieved by training a diffusion-style model from scratch on visual data alone, using a vision encoder for guidance and a restoration-oriented sampling strategy.
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DiTTo: Scalable Order-aware All-in-One Image Restoration Agent
DiTTo reduces optimal restoration trajectory dataset construction from quadratic to linear cost via a simulator and adds order-aware alignment for plug-and-play extensibility to new experts, claiming SOTA quality on multi-degradation benchmarks.