Language-guided panoramic video generation benefits various downstream applications, such as interactive 3D scene exploration, virtual reality experiences, and embodied agent training. Existing panoramic generators follow predefined trajectories, and interactive world models act through low-level actions in perspective...
Yun-Heng Liu, Zi-Qi Cai, Si-Qi Yang et al.· 0 citations
Interactive panoramic video generation aims to synthesize immersive 360\textdegree{} videos that remain visually coherent while following user-specified camera trajectories during exploration. However, progress is limited by a coupled data-and-model gap: existing panoramic video datasets are often short, weakly annotat...
Jia-Ming Tan, Zhen Li, Shu-Wei Shi et al.· 0 citations
V-LITE (Video generation models are inherent lighting estimators), a framework that unlocks internal knowledge by reframing lighting estimation as a guided video inpainting task, is introduced, revealing that modern video diffusion models are not merely synthesizers but also powerful, inherently capable estimators of p...
Ziqi Cai, Shuchen Weng, Kaiqi Liu et al.· arXiv.org· 0 citations
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