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20242026
most citedGaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion

3 citations · 9 across the 13 of their papers we have counts for

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11 papers · 1 filter

cs.CV2024

Splatter-360: Generalizable 360 Gaussian Splatting for Wide-baseline Panoramic Images

Zheng Chen, Chenming Wu, Zhelun Shen +5

Wide-baseline panoramic images are frequently used in applications like VR and simulations to minimize capturing labor costs and storage needs. However, synthesizing novel views fr…

cs.CV2024

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes

Hao Li, Yuanyuan Gao, Haosong Peng +7

Novel-view synthesis (NVS) approaches play a critical role in vast scene reconstruction. However, these methods rely heavily on dense image inputs and prolonged training times, mak…

cs.CV2024

TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting

Bojun Xiong, Jialun Liu, Jiakui Hu +6

Physically Based Rendering (PBR) materials play a crucial role in modern graphics, enabling photorealistic rendering across diverse environment maps. Developing an effective and ef…

cs.CV2024

Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video

Yiqun Zhao, Chenming Wu, Binbin Huang +4

Efficient and accurate reconstruction of a relightable, dynamic clothed human avatar from a monocular video is crucial for the entertainment industry. This paper presents SGIA (Sur…

cs.CV2024

VDG: Vision-Only Dynamic Gaussian for Driving Simulation

Hao Li, Jingfeng Li, Dingwen Zhang +7

Dynamic Gaussian splatting has led to impressive scene reconstruction and image synthesis advances in novel views. Existing methods, however, heavily rely on pre-computed poses and…

cs.CV2024

XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis

Hao Li, Chenming Wu, Ming Yuan +7

Comprehensive testing of autonomous systems through simulation is essential to ensure the safety of autonomous driving vehicles. This requires the generation of safety-critical sce…

cs.CV2024★ 2 cited

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

Yanmin Wu, Jiarui Meng, Haijie Li +8

This paper introduces OpenGaussian, a method based on 3D Gaussian Splatting (3DGS) capable of 3D point-level open vocabulary understanding. Our primary motivation stems from observ…

cs.RO2024★ 3 cited

Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion

Xiaolei Lang, Laijian Li, Chenming Wu +5

In this paper, we present a real-time photo-realistic SLAM method based on marrying Gaussian Splatting with LiDAR-Inertial-Camera SLAM. Most existing radiance-field-based SLAM syst…

cs.CV2024

TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization

Jinbo Wu, Xing Liu, Chenming Wu +7

This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optima…

cs.CV2024★ 3 cited

GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time

Hao Li, Yuanyuan Gao, Chenming Wu +7

This paper presents GGRt, a novel approach to generalizable novel view synthesis that alleviates the need for real camera poses, complexity in processing high-resolution images, an…

cs.CV2024★ 1 cited

GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos

Xinqi Liu, Chenming Wu, Jialun Liu +6

In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intrica…