Skip to content
English

Switch theme

arXiv 2610.30023 · cs.CV · 2026-10-21

RealMe: Immersive Volumetric Video from Minimal Captures

Chenxu Zhou, Zhiyuan Yu, Yudong Jin, Yinji Shentu, Yu Zhang, Jiaming Sun, Xiaowei Zhou

zju3dv

In latest · #300 Added on 2026-10-25

One-line takeaway

ZJU3DV's RealMe uses a high-resolution video diffusion model to enhance sparse, low-res captures into 2K, 4D-consistent videos for volumetric video reconstruction, avoiding costly dense multi-view rigs.

浙大 3DV 组的 RealMe 用高分辨率视频扩散模型,把稀疏、低分辨率的拍摄素材增强成 2K、4D 一致的视频,再重建沉浸式体积视频,免去昂贵的密集多机位设备。

28HF upvotes
29GitHub stars
0Citations (Semantic Scholar)
43.8Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)