We live in a dynamic 3D world. Enabling machines to see and understand the world in 4D (3D + time) unlocks numerous real-world applications across various domains. These include designing autonomous robots capable of navigating and interacting with complex real-world environments, creating immersive and interactive virtual worlds that seamlessly blend with physical reality, and unveiling the mysteries of life and the universe, for instance, in biology and astrophysics. Computer vision lies at the core of these innovations, offering the tools to capture and model the 4D world from partially-observed image data.

In recent years, we have seen remarkable progress in 3D computer vision, with increasingly robust and efficient models for reconstructing and generating 3D objects and scenes. 4D computer vision, as a natural extension of these efforts, is rapidly gaining traction. This workshop aims to establish a dedicated venue for discussions on this topic, bringing together researchers across various domains to exchange perspectives, identify challenges, and collectively accelerate progress in this space.