PanoWan adapts the Wan 2.1 text-to-video model to generate seamless 360-degree videos by remapping initial noise, rotating the latent grid during denoising, and padding the latent before VAE decoding, trained on a new 13K-clip PANOVID dataset.
Two-frame motion estimation based on polynomial expansion
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PanoWan: Lifting Diffusion Video Generation Models to 360{\deg} with Latitude/Longitude-aware Mechanisms
PanoWan adapts the Wan 2.1 text-to-video model to generate seamless 360-degree videos by remapping initial noise, rotating the latent grid during denoising, and padding the latent before VAE decoding, trained on a new 13K-clip PANOVID dataset.