80 citations · 220 across the 19 of their papers we have counts for
19 papers
PanoVGGT: Feed-Forward 3D Reconstruction from Panoramic Imagery
Yijing Guo, Mengjun Chao, Luo Wang +5
Panoramic imagery offers a full 360° field of view and is increasingly common in consumer devices. However, it introduces non-pinhole distortions that challenge joint pose estimati…
Topology-Aware Optimization of Gaussian Primitives for Human-Centric Volumetric Videos
Yuheng Jiang, Chengcheng Guo, Yize Wu +9
Volumetric video is emerging as a key medium for digitizing the dynamic physical world, creating the virtual environments with six degrees of freedom to deliver immersive user expe…
CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians
Weihang Liu, Yuhui Zhong, Yuke Li +8
Accurate and efficient modeling of large-scale urban scenes is critical for applications such as AR navigation, UAV based inspection, and smart city digital twins. While aerial ima…
RePerformer: Immersive Human-centric Volumetric Videos from Playback to Photoreal Reperformance
Yuheng Jiang, Zhehao Shen, Chengcheng Guo +5
Human-centric volumetric videos offer immersive free-viewpoint experiences, yet existing methods focus either on replaying general dynamic scenes or animating human avatars, limiti…
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…
CADSpotting: Robust Panoptic Symbol Spotting on Large-Scale CAD Drawings
Fuyi Yang, Jiazuo Mu, Yanshun Zhang +7
We introduce CADSpotting, an effective method for panoptic symbol spotting in large-scale architectural CAD drawings. Existing approaches often struggle with symbol diversity, scal…
AerialGo: Walking-through City View Generation from Aerial Perspectives
Fuqiang Zhao, Yijing Guo, Siyuan Yang +6
High-quality 3D urban reconstruction is essential for applications in urban planning, navigation, and AR/VR. However, capturing detailed ground-level data across cities is both lab…
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…
LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives
Jiadi Cui, Junming Cao, Fuqiang Zhao +7
Large garages are ubiquitous yet intricate scenes that present unique challenges due to their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle g…
Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance
Qingcheng Zhao, Pengyu Long, Qixuan Zhang +6
The synthesis of 3D facial animations from speech has garnered considerable attention. Due to the scarcity of high-quality 4D facial data and well-annotated abundant multi-modality…
HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting
Yuheng Jiang, Zhehao Shen, Penghao Wang +5
We have recently seen tremendous progress in photo-real human modeling and rendering. Yet, efficiently rendering realistic human performance and integrating it into the rasterizati…
Human Performance Modeling and Rendering via Neural Animated Mesh
Fuqiang Zhao, Yuheng Jiang, Kaixin Yao +8
We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mes…
Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time
Liao Wang, Jiakai Zhang, Xinhang Liu +6
Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly on modeling static objects captured under multi-view settings where real-time rendering can…
Artemis: Articulated Neural Pets with Appearance and Motion synthesis
Haimin Luo, Teng Xu, Yuheng Jiang +6
We, humans, are entering into a virtual era and indeed want to bring animals to the virtual world as well for companion. Yet, computer-generated (CGI) furry animals are limited by…
HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs
Fuqiang Zhao, Wei Yang, Jiakai Zhang +4
Recent neural human representations can produce high-quality multi-view rendering but require using dense multi-view inputs and costly training. They are hence largely limited to s…
Editable Free-viewpoint Video Using a Layered Neural Representation
Jiakai Zhang, Xinhang Liu, Xinyi Ye +6
Generating free-viewpoint videos is critical for immersive VR/AR experience but recent neural advances still lack the editing ability to manipulate the visual perception for large…
NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras
Xin Suo, Yuheng Jiang, Pei Lin +4
4D reconstruction and rendering of human activities is critical for immersive VR/AR experience.Recent advances still fail to recover fine geometry and texture results with the leve…
Deep Surface Light Fields
Anpei Chen, Minye Wu, Yingliang Zhang +4
A surface light field represents the radiance of rays originating from any points on the surface in any directions. Traditional approaches require ultra-dense sampling to ensure th…
Semantic See-Through Rendering on Light Fields
Huangjie Yu, Guli Zhang, Yuanxi Ma +2
We present a novel semantic light field (LF) refocusing technique that can achieve unprecedented see-through quality. Different from prior art, our semantic see-through (SST) diffe…