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.Chapters00:00 Intro & Personal Updates04:36 Real-Time 3D Reconstruction on iPhones09:40 Advancements in SfM14:56 Event Cameras17:39 Neural Networks in 3D Reconstruction26:30 SLAM and Machine Learning Innovation29:48 Applications of SLAM in Robotics34:19 NVIDIA's Cosmos and Physical AI40:18 Generative AI for Real-World Applications43:50 The Future of Gaussian Splatting and 3D ReconstructionThis 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

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