I am a Ph.D. student working on Generative AI and Foundation Models. My work centers on building open-source systems that push the frontier of visual generation and restoration while being broadly reusable by the community.
My research has resulted in 10+ top-tier conference papers (CVPR, ICCV, ECCV, NeurIPS, ICLR, TPAMI), including 2 CVPR Highlights (top 3% of submissions) and 1 ECCV Oral as first author.
I have led and contributed to influential open projects including LucidFlux, UltraFlux, PosterCraft, and PosterOmni, covering universal image restoration, native high-resolution generation, and creative design. I also architected Meissonic, the first open-source non-autoregressive model to achieve SDXL-level performance, and co-architected MagicInfinite at Hedra. My work has received international recognition, including selection as a KAUST Rising Star in AI (2025).