activity
20202026
most citedInferring Point Cloud Quality via Graph Similarity

12 citations · 45 across the 35 of their papers we have counts for

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Showing 2025Show all

13 papers · 1 filter

eess.IV2025

3DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression

Yuke Xing, William Gordon, Qi Yang +3

3D Gaussian Splatting (3DGS) enables real-time novel view synthesis with high visual fidelity, but its substantial storage requirements hinder practical deployment, prompting state…

cs.CV2025

Point Cloud Compression and Objective Quality Assessment: A Survey

Yiling Xu, Yujie Zhang, Shuting Xia +6

The rapid growth of 3D point cloud data, driven by applications in autonomous driving, robotics, and immersive environments, has led to criticals demand for efficient compression a…

cs.CV2025

3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting

Yuke Xing, Jiarui Wang, Peizhi Niu +3

3D Gaussian Splatting (3DGS) has emerged as a promising approach for novel view synthesis, offering real-time rendering with high visual fidelity. However, its substantial storage…

cs.CV2025

Rasterizing Wireless Radiance Field via Deformable 2D Gaussian Splatting

Mufan Liu, Cixiao Zhang, Qi Yang +6

Modeling the wireless radiance field (WRF) is fundamental to modern communication systems, enabling key tasks such as localization, sensing, and channel estimation. Traditional app…

cs.CV2025

DPCD: A Quality Assessment Database for Dynamic Point Clouds

Yating Liu, Yujie Zhang, Qi Yang +3

Recently, the advancements in Virtual/Augmented Reality (VR/AR) have driven the demand for Dynamic Point Clouds (DPC). Unlike static point clouds, DPCs are capable of capturing tem…

cs.GR2025

Textured mesh Quality Assessment using Geometry and Color Field Similarity

Kaifa Yang, Qi Yang, Zhu Li +1

Textured mesh quality assessment (TMQA) is critical for various 3D mesh applications. However, existing TMQA methods often struggle to provide accurate and robust evaluations. Moti…

cs.CV2025

ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction

He Huang, Qi Yang, Mufan Liu +2

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 r…

cs.NI2025

Video Streaming with Kairos: An MPC-Based ABR with Streaming-Aware Throughput Prediction

Ziyu Zhong, Mufan Liu, Le Yang +3

In this paper, we present Kairos, a model predictive control (MPC)-based adaptive bitrate (ABR) scheme that integrates streaming-aware throughput predictions to enhance video strea…

cs.CV2025

Light4GS: Lightweight Compact 4D Gaussian Splatting Generation via Context Model

Mufan Liu, Qi Yang, He Huang +4

3D Gaussian Splatting (3DGS) has emerged as an efficient and high-fidelity paradigm for novel view synthesis. To adapt 3DGS for dynamic content, deformable 3DGS incorporates tempor…

cs.CV2025

Progressively Deformable 2D Gaussian Splatting for Video Representation at Arbitrary Resolutions

Mufan Liu, Qi Yang, Miaoran Zhao +4

Implicit neural representations (INRs) enable fast video compression and effective video processing, but a single model rarely offers scalable decoding across rates and resolutions…

eess.IV2025

Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment

Yipeng Liu, Qi Yang, Yiling Xu

In this paper, we propose a global monotonicity consistency training strategy for quality assessment, which includes a differentiable, low-computation monotonicity evaluation loss…

cs.CV2025

From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training

Yipeng Liu, Qi Yang, Yujie Zhang +3

We present a novel quality assessment method which can predict the perceptual quality of point clouds from new scenes without available annotations by leveraging the rich prior kno…

cs.CV2025

CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment

Yating Liu, Yujie Zhang, Ziyu Shan +1

In recent years, No-Reference Point Cloud Quality Assessment (NR-PCQA) research has achieved significant progress. However, existing methods mostly seek a direct mapping function f…