Dengyang Jiang
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2026
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
This paper proposes ReChannel, a method for dense prediction using a pretrained DiT model, which keeps the encoder but removes the decoder and adapts it with task LoRA. ReChannel maps each token to its corresponding pixel-space patch through a shared linear head.
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cs.CVEmpiricalRecentJul 7, 2026
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
Zanyi Wang, Xin Lin, Haodong Li, Dengyang Jiang +2 more
This paper proposes ReChannel, a method for dense prediction using a pretrained DiT model, which keeps the encoder but removes the decoder and adapts it with task LoRA. ReChannel maps each token to it…
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