RealVV

Headlines · 1

1. Oct 20
   RealMe uses video diffusion to make 2K, 4D-consistent volumetric video from sparse captures

   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.

   Hugging Face · Papers · 🔥 0

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