Tao Mei’s Post

https://lnkd.in/gSNbceyd Rui Zhu is a Ph.D. student at The Chinese University of Hong Kong (Shenzhen), co-supervised by Professor Changwen Chen and me. He proposed the "Discriminative Self-Supervised Learning Paradigm," which can significantly accelerate the convergence of the Diffusion Transformer (DiT) model. This paradigm has been implemented and is currently used in the HiDream.ai products. In the era of GenAI, many impressive works come from the industry because, compared to academia, the industry often has richer computing resources, real data, and application scenarios, as well as a more agile work pace. This allows for the rapid validation of ideas under the premise of the Scaling Law and the ability to serve millions of users. Several young members of the Sora team also frequently interned at various companies before graduating with their Ph.D.s, accumulating practical experience. The reasoning behind this is the same. HiDream.ai will present five papers focusing on DiT technology at this year's CVPR, and Rui Zhu's SD-DiT is just one of them. We welcome colleagues interested in "multimodal generative models" and AIGC to join our CTO, Dr. Yao, for discussions during the conference in Seattle. We also welcome students to intern at HiDream.ai and experience the technological breakthroughs of GenAI firsthand!