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3D Gaussian Splatting (3DGS) has emerged as a high-fidelity and efficient paradigm for online free-viewpoint video (FVV) reconstruction, offering viewers rapid responsiveness and immersive experiences. However, existing online methods face…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Jiacong Chen , Qingyu Mao , Youneng Bao , Xiandong Meng , Fanyang Meng , Ronggang Wang , Yongsheng Liang

Building Free-Viewpoint Videos in a streaming manner offers the advantage of rapid responsiveness compared to offline training methods, greatly enhancing user experience. However, current streaming approaches face challenges of high…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Jinbo Yan , Rui Peng , Zhiyan Wang , Luyang Tang , Jiayu Yang , Jie Liang , Jiahao Wu , Ronggang Wang

Current 4D Gaussian frameworks for dynamic scene reconstruction deliver impressive visual fidelity and rendering speed, however, the inherent trade-off between storage costs and the ability to characterize complex physical motions…

Graphics · Computer Science 2025-07-11 Wei Yao , Shuzhao Xie , Letian Li , Weixiang Zhang , Zhixin Lai , Shiqi Dai , Ke Zhang , Zhi Wang

Free-viewpoint video (FVV) enables immersive viewing experiences by allowing users to view scenes from arbitrary perspectives. As a prominent reconstruction technique for FVV generation, 4D Gaussian Splatting (4DGS) models dynamic scenes…

Graphics · Computer Science 2025-12-25 Zhe Wang , Jinghang Li , Yifei Zhu

Constructing photo-realistic Free-Viewpoint Videos (FVVs) of dynamic scenes from multi-view videos remains a challenging endeavor. Despite the remarkable advancements achieved by current neural rendering techniques, these methods generally…

Computer Vision and Pattern Recognition · Computer Science 2024-06-12 Jiakai Sun , Han Jiao , Guangyuan Li , Zhanjie Zhang , Lei Zhao , Wei Xing

The online reconstruction of dynamic scenes from multi-view streaming videos faces significant challenges in training, rendering and storage efficiency. Harnessing superior learning speed and real-time rendering capabilities, 3D Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Qiankun Gao , Jiarui Meng , Chengxiang Wen , Jie Chen , Jian Zhang

Dynamic 3D scene reconstruction is essential for immersive media such as VR, MR, and XR, yet remains challenging for long multi-view sequences with large-scale motion. Existing dynamic Gaussian approaches are either Frame-Stream, offering…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Jie Liang , Jiahao Wu , Chao Wang , Jiayu Yang , Xiaoyun Zheng , Kaiqiang Xiong , Zhanke Wang , Jinbo Yan , Feng Gao , Ronggang Wang

Streaming free-viewpoint video~(FVV) in real-time still faces significant challenges, particularly in training, rendering, and transmission efficiency. Harnessing superior performance of 3D Gaussian Splatting~(3DGS), recent 3DGS-based FVV…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Zhihui Ke , Yuyang Liu , Xiaobo Zhou , Tie Qiu

Dynamic scene reconstruction with Gaussian Splatting has enabled efficient streaming for real-time rendering and free-viewpoint video. However, most pipelines rely on fixed anchor selection such as Farthest Point Sampling (FPS), typically…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Ashim Dahal , Rabab Abdelfattah , Nick Rahimi

3D Gaussian Splatting (3DGS) has gained significant attention in streamable dynamic novel view synthesis (DNVS) for its photorealistic rendering capability and computational efficiency. Despite much progress in improving rendering quality…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Zhenyu Bao , Qing Li , Guibiao Liao , Zhongyuan Zhao , Kanglin Liu

We have recently seen great progress in 3D scene reconstruction through explicit point-based 3D Gaussian Splatting (3DGS), notable for its high quality and fast rendering speed. However, reconstructing dynamic scenes such as complex human…

Computer Vision and Pattern Recognition · Computer Science 2025-03-10 Chao Zhang , Yifeng Zhou , Shuheng Wang , Wenfa Li , Degang Wang , Yi Xu , Shaohui Jiao

Free-Viewpoint Video (FVV) enables immersive 3D experiences, but efficient compression of dynamic 3D representation remains a major challenge. Existing dynamic 3D Gaussian Splatting methods couple reconstruction with optimization-dependent…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Wenkang Zhang , Yan Zhao , Qiang Wang , Zhixin Xu , Li Song , Zhengxue Cheng

Existing 4D Gaussian Splatting methods rely on per-Gaussian deformation from a canonical space to target frames, which overlooks redundancy among adjacent Gaussian primitives and results in suboptimal performance. To address this…

Computer Vision and Pattern Recognition · Computer Science 2025-05-14 He Huang , Qi Yang , Mufan Liu , Yiling Xu , Zhu Li

Free-Viewpoint Video (FVV) reconstruction enables photorealistic and interactive 3D scene visualization; however, real-time streaming is often bottlenecked by sparse-view inputs, prohibitive training costs, and bandwidth constraints. While…

Graphics · Computer Science 2026-01-27 Xinhui Liu , Can Wang , Lei Liu , Zhenghao Chen , Wei Jiang , Wei Wang , Dong Xu

High-fidelity reconstruction of surgical scene is a fundamentally crucial task to support many applications, such as intra-operative navigation and surgical education. However, most existing methods assume the ideal surgical scenarios -…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Qian Li , Shuojue Yang , Daiyun Shen , Jimmy Bok Yan So , Jing Qin , Yueming Jin

The advent of 3D Gaussian Splatting (3DGS) has advanced 3D scene reconstruction and novel view synthesis. With the growing interest of interactive applications that need immediate feedback, online 3DGS reconstruction in real-time is in high…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Yang LI , Jinglu Wang , Lei Chu , Xiao Li , Shiu-hong Kao , Ying-Cong Chen , Yan Lu

Real-time reconstruction of dynamic 3D scenes from uncalibrated video streams demands robust online methods that recover scene dynamics from sparse observations under strict latency and memory constraints. Yet most dynamic reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Zike Wu , Qi Yan , Xuanyu Yi , Lele Wang , Renjie Liao

Reconstructing dynamic 3D scenes from monocular videos remains a fundamental challenge in 3D vision. While 3D Gaussian Splatting (3DGS) achieves real-time rendering in static settings, extending it to dynamic scenes is challenging due to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Jianing Chen , Zehao Li , Yujun Cai , Hao Jiang , Chengxuan Qian , Juyuan Kang , Shuqin Gao , Honglong Zhao , Tianlu Mao , Yucheng Zhang

3D Gaussian Splatting has recently achieved notable success in novel view synthesis for dynamic scenes and geometry reconstruction in static scenes. Building on these advancements, early methods have been developed for dynamic surface…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Decai Chen , Brianne Oberson , Ingo Feldmann , Oliver Schreer , Anna Hilsmann , Peter Eisert

Reconstructing a dynamic target moving over a large area is challenging. Standard approaches for dynamic object reconstruction require dense coverage in both the viewing space and the temporal dimension, typically relying on multi-view…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Jun-Jee Chao , Volkan Isler
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