2 citations · 3 across the 5 of their papers we have counts for
5 papers
BEAM: Bridging Physically-based Rendering and Gaussian Modeling for Relightable Volumetric Video
Yu Hong, Yize Wu, Zhehao Shen +5
Volumetric video enables immersive experiences by capturing dynamic 3D scenes, enabling diverse applications for virtual reality, education, and telepresence. However, traditional…
V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians
Penghao Wang, Zhirui Zhang, Liao Wang +5
Experiencing high-fidelity volumetric video as seamlessly as 2D videos is a long-held dream. However, current dynamic 3DGS methods, despite their high rendering quality, face chall…
Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos
Yuheng Jiang, Zhehao Shen, Yu Hong +5
Volumetric video represents a transformative advancement in visual media, enabling users to freely navigate immersive virtual experiences and narrowing the gap between digital and…
VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams
Liao Wang, Kaixin Yao, Chengcheng Guo +5
Neural Radiance Fields (NeRFs) excel in photorealistically rendering static scenes. However, rendering dynamic, long-duration radiance fields on ubiquitous devices remains challeng…
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator
Zesong Qiu, Yuwei Li, Dongming He +8
Recent years have seen growing interest in 3D human faces modelling due to its wide applications in digital human, character generation and animation. Existing approaches overwhelm…