Topic

Practical Implementation, Applications, and Future Prospects of AI Animation Models

With continuous technological advancement, both the efficiency and quality of animation production have improved significantly. Yudong Jiang will introduce Bilibili’s AniSora system, which includes high-quality data processing pipelines, controllable generation models, and evaluation benchmarks tailored to animation characteristics. He will also analyze the application prospects and implementation challenges of AI generation technology in animation creation, exploring how AI can reshape animation productivity and support large-scale, high-quality content production. Outline: 1. Challenges in Animation Video Generation in the Sora Era * Overview of video generation technology development * Key technical framework for video generation * Core technical issues in animation video generation 2. AniSora’s Approach to Solving Animation Video Generation Problems * Dataset construction and crucial details affecting model performance * Model solutions and pipelines designed for animation effects and artistic design * Benchmark metrics for evaluating model quality and associated challenges * Reinforcement learning for animation models 3. Technical Applications – Challenges in Long-Form Video Production * Workflow for AI long-form video creation * Technical challenges and solutions for character and scene consistency * Analysis and solutions for physical effects generation * Controllability issues and multi-modal interaction, balancing fine-grained control and usability 4. Future of Intelligent Animation Video Creation * Directions for technology iteration and stage prediction analysis * Industry trends in AI long-form video creation * Unified multimodal creation vs. multi-agent assisted innovation