A paper titled "RealMe: Immersive Volumetric Video from Minimal Captures," by Chenxu Zhou and co-authors including Xiaowei Zhou, was submitted to arXiv on 21 October 2026 and is slated to appear in SIGGRAPH Asia 2026 Conference Papers. The authors describe RealMe as a unified framework built around a high-resolution video diffusion model that enhances sparse, low-resolution captures into 2K, 4D-consistent video for volumetric reconstruction, using auxiliary data encoded into latents with layout-aware positional embeddings and a latent frequency loss. They report experiments on the public DNA-Rendering benchmark and their own RealVV dataset showing better visual fidelity and 4D consistency than prior methods, though these results are author-reported and not independently replicated.