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
在最新榜 #300 本站收录于 2026-10-25
一句话要点
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。
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.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题:视觉生成
- StreamEval: Evaluating Interactive Streaming Video Generation Models ▲649
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation ▲200
同主题:视觉理解与 3D
- Spectral-Spatial Interpretation 2026-10-15 · ▲753
- GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives 2026-09-30 · ▲310
- VisionHOPE: Visual Backbones as Self-Modifying Learning Systems 2026-09-27 · ▲296
- WeVisOne-VL: Unified Visual Perception from Objects to Pixels 2026-10-22 · ▲247
- EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience 2026-10-19 · ▲189
同机构:zju3dv
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-26。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。