Distribution matching distillation (DMD) provides a general framework for few-step diffusion generation, but its modern text-to-image instantiations have been developed primarily around latent diffusion. It therefore overlooks key properties and design opportunities of native RGB. We revisit two DMD interfaces for pixe...
Xin Lin, Zhi-Fei Zhang, Yu-Qian Zhou et al.· 0 citations
This work identifies direct output access to the image statistics being corrected as a key factor governing when adversarial post-training succeeds, the first systematic study of adversarial post-training for pixel diffusion.
Xin Lin, Zhi-Fei Zhang, Yu-Qian Zhou et al.· 0 citations
DG-Mem is proposed, a dual-grained agentic memory framework that augments a frozen MLLM with a non-parametric, externally stored memory built once from training-time rollouts and consulted read-only at test time, and improves consistently over no-memory and competitive memory baselines.
Jie-Ke Wang, Tian-Cheng Shen, Yibo Yang et al.· 0 citations
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