The Dawn of Video Generation: Preliminary Explorations with SORA-like Models (Talk)

High-quality video generation—encompassing text-to-video (T2V), image-to-video (I2V), and video-to-video (V2V) generation—plays a pivotal role in content creation and world simulation. While several DiT-based models have advanced rapidly in the past year, a thorough exploration of their capabilities, limitations, and alignment with human preferences remains incomplete. In this talk, I will present recent advancements in SORA-like T2V, I2V, and V2V models and products, bridging the gap between academic research and industry applications. Through live demonstrations and comparative analyses, I will highlight key insights across four core dimensions: i) Impact on vertical-domain applications, such as human-centric animation and robotics; ii) Core capabilities, including text alignment, motion diversity, composition, and stability; iii) Performance across ten real-world scenarios, showcasing practical utility; iv) Future potential, including usage scenarios, challenges, and directions for further research. Additionally, I will discuss recent advancements in automatic evaluation methods for generated videos, leveraging multimodal large language models to better adapt to the rapid development of generative and understanding models.