18 citations · 21 across the 9 of their papers we have counts for
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cs.CV2025
InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation
Jinqi Xiao, Qing Yan, Liming Jiang +8
Parameter-Efficient Fine-Tuning of Diffusion Transformers (DiTs) for diverse, multi-conditional tasks often suffers from task interference when using monolithic adapters like LoRA.…
cs.CV2025
Lynx: Towards High-Fidelity Personalized Video Generation
Shen Sang, Tiancheng Zhi, Tianpei Gu +2
We present Lynx, a high-fidelity model for personalized video synthesis from a single input image. Built on an open-source Diffusion Transformer (DiT) foundation model, Lynx introd…