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20232026
most citedOpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

2 citations · 5 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

CodecArena: Codec Quality Assessment via Visual Reinforcement Learning

Jiaye Fu, Weiqi Li, Qiankun Gao +5

Video coding is advancing into the low and ultra-low bitrate regime, driven by end-to-end codecs that replace the hand-crafted pipeline with jointly optimized neural networks and g…

cs.CV2026

CoordRefer: Coordinate-Aware 3D Visual Grounding from Multiview Images

Haijie Li, Jiaxin Zhang, Dave Zhenyu Chen +3

Multiview image-based 3D visual grounding predicts a coordinate frame to define a coordinate system and then regresses a 3D bounding box for localization. However, existing methods…

cs.CV2026

Spark3R: Asymmetric Token Reduction Makes Fast Feed-Forward 3D Reconstruction

Zecheng Tang, Jiaye Fu, Qiankun Gao +5

Feed-forward 3D reconstruction models based on Vision Transformers can directly estimate scene geometry and camera poses from a small set of input images, but scaling them to video…

cs.CV2024★ 1 cited

HiCoM: Hierarchical Coherent Motion for Streamable Dynamic Scene with 3D Gaussian Splatting

Qiankun Gao, Jiarui Meng, Chengxiang Wen +2

The online reconstruction of dynamic scenes from multi-view streaming videos faces significant challenges in training, rendering and storage efficiency. Harnessing superior learnin…

cs.CV2024

RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians

Qiankun Gao, Yanmin Wu, Chengxiang Wen +5

Reconstructing dynamic scenes with large-scale and complex motions remains a significant challenge. Recent techniques like Neural Radiance Fields and 3D Gaussian Splatting (3DGS) h…

cs.CV2024

InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception

Haijie Li, Yanmin Wu, Jiarui Meng +4

3D scene understanding has become an essential area of research with applications in autonomous driving, robotics, and augmented reality. Recently, 3D Gaussian Splatting (3DGS) has…

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.CV2024

Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting

Jiarui Meng, Haijie Li, Yanmin Wu +4

3D Gaussian Splatting (3DGS) has significantly advanced 3D scene reconstruction and novel view synthesis. However, like Neural Radiance Fields (NeRF), 3DGS struggles with accuratel…

cs.CV2023

Language-Assisted 3D Scene Understanding

Yanmin Wu, Qiankun Gao, Renrui Zhang +1

The scale and quality of point cloud datasets constrain the advancement of point cloud learning. Recently, with the development of multi-modal learning, the incorporation of domain…

cs.CV2023★ 2 cited

GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

Yahao Shi, Yanmin Wu, Chenming Wu +7

This paper presents a 3D Gaussian Inverse Rendering (GIR) method, employing 3D Gaussian representations to effectively factorize the scene into material properties, light, and geom…