AI Video's Glitch Problem Just Got Solved скачать в хорошем качестве

AI Video's Glitch Problem Just Got Solved

AI video models usually break when you ask for realistic physics, limbs glitch, gravity feels wrong, and objects morph. But a new technique called Self-Refining Video Sampling just changed the game. In this video, we test this new method against top models like Wan 2.1, FlowMo, and NFEx2. The results are shocking: a 73% preference rate in human evaluation and massive improvements in robotics training. From basketballs bouncing correctly to complex gymnastics, this is the physics update AI video has been waiting for. In this video: Why base models fail at complex motion. The "Predict-and-Perturb" technique explained. Side-by-side comparisons: Wan 2.1 vs. Self-Refining. How to run this code yourself. ▽ TOOLS & RESOURCES MENTIONED ▽ Project Page: https://agwmon.github.io/self-refine-... GitHub Repository: https://github.com/agwmon/self-refine... ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🤝 Business: TeamAIQ@yahoo.com 🚀 X / Twitter: https://x.com/AiquestAcademy ☕ Support the Channel: https://linke.to/Buy_Me_Coffee ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #AIVideo #GenerativeAI #MachineLearning #Wan2 #TechNews #ComputerVision