What's New in 2025 for Computer Vision?

After an 18 month hiatus, we are back! In this episode of Computer Vision Decoded, hosts Jonathan Stephens and Jared Heinly discuss the latest advancements in computer vision technology, personal updates, and insights from the industry. They explore topics such as real-time 3D reconstruction, computer vision research, SLAM, event cameras, and the impact of generative AI on robotics. The conversation highlights the importance of merging traditional techniques with modern machine learning approaches to solve real-world problems effectively. Chapters 00:00 Intro & Personal Updates 04:36 Real-Time 3D Reconstruction on iPhones 09:40 Advancements in SfM 14:56 Event Cameras 17:39 Neural Networks in 3D Reconstruction 26:30 SLAM and Machine Learning Innovation 29:48 Applications of SLAM in Robotics 34:19 NVIDIA's Cosmos and Physical AI 40:18 Generative AI for Real-World Applications 43:50 The Future of Gaussian Splatting and 3D Reconstruction This episode is brought to you by EveryPoint. Learn more about how EveryPoint is building an infinitely scalable data collection and processing platform for the next generation of spatial computing applications and services: https://www.everypoint.io