4K4DGen: Panoramic 4D Generation at 4K Resolution
Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, Xuanyang Zhang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhiwen Fan
2024-06-24
Summary
This paper discusses a new technology called 4K4DGen, which can create high-quality, immersive 4D videos from a single panoramic image. This means it can generate dynamic scenes that you can view all around you in 360 degrees, making it ideal for virtual reality (VR) and augmented reality (AR) applications.
What's the problem?
As VR and AR technologies grow in popularity, there is a need for better ways to create realistic and engaging environments. Existing methods often only focus on moving objects or work from a single viewpoint, which limits their effectiveness in creating fully immersive experiences where users can look around in all directions.
What's the solution?
The researchers developed a method that transforms a flat panoramic image into a lively 4D experience. They introduced a process called the Panoramic Denoiser, which helps animate specific areas of the panoramic image to create dynamic scenes. This method ensures that the final video maintains both spatial (how things are arranged in space) and temporal (how things change over time) consistency. Their approach allows for the generation of realistic 4D content at very high resolutions (4K), which has not been done before.
Why it matters?
This technology is significant because it opens up new possibilities for creating immersive environments in VR and AR. By allowing users to experience dynamic scenes from multiple angles, it enhances the overall experience and could lead to more engaging applications in gaming, training simulations, and virtual tourism.
Abstract
The blooming of virtual reality and augmented reality (VR/AR) technologies has driven an increasing demand for the creation of high-quality, immersive, and dynamic environments. However, existing generative techniques either focus solely on dynamic objects or perform outpainting from a single perspective image, failing to meet the needs of VR/AR applications. In this work, we tackle the challenging task of elevating a single panorama to an immersive 4D experience. For the first time, we demonstrate the capability to generate omnidirectional dynamic scenes with 360-degree views at 4K resolution, thereby providing an immersive user experience. Our method introduces a pipeline that facilitates natural scene animations and optimizes a set of 4D Gaussians using efficient splatting techniques for real-time exploration. To overcome the lack of scene-scale annotated 4D data and models, especially in panoramic formats, we propose a novel Panoramic Denoiser that adapts generic 2D diffusion priors to animate consistently in 360-degree images, transforming them into panoramic videos with dynamic scenes at targeted regions. Subsequently, we elevate the panoramic video into a 4D immersive environment while preserving spatial and temporal consistency. By transferring prior knowledge from 2D models in the perspective domain to the panoramic domain and the 4D lifting with spatial appearance and geometry regularization, we achieve high-quality Panorama-to-4D generation at a resolution of (4096 times 2048) for the first time. See the project website at https://4k4dgen.github.io.