Poster Session 2 · Wednesday, December 3, 2025 4:30 PM → 7:30 PM
#4205
Imagine360: Immersive 360 Video Generation from Perspective Anchor
Abstract
videos offer a hyper-immersive experience that allows the viewers to explore a dynamic scene from full 360 degrees. To achieve more accessible and personalized content creation in video format, we seek to lift standard perspective videos into equirectangular videos.
To this end, we introduce Imagine360, the first perspective-to- video generation framework that creates high-quality videos with rich and diverse motion patterns from video anchors. Imagine360 learns fine-grained spherical visual and motion patterns from limited video data with several key designs.
- Firstly we adopt the dual-branch design, including a perspective and a panorama video denoising branch to provide local and global constraints for video generation, with motion module and spatial LoRA layers fine-tuned on videos.
- Additionally, an antipodal mask is devised to capture long-range motion dependencies, enhancing the reversed camera motion between antipodal pixels across hemispheres.
- To handle diverse perspective video inputs, we propose rotation-aware designs that adapt to varying video masking due to changing camera poses across frames.
- Lastly, we introduce a new 360 video dataset featuring 10K high-quality, trimmed 360 video clips with structured motion to facilitate training.
Extensive experiments show Imagine360 achieves superior graphics quality and motion coherence with our curated dataset among state-of-the-art video generation methods. We believe Imagine360 holds promise for advancing personalized, immersive video creation.