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20242026
most citedInter-Frame Coding for Dynamic Meshes via Coarse-to-Fine Anchor Mesh Generation

1 citations · 1 across the 14 of their papers we have counts for

collaborators

17 papers

eess.IV2026

Codec-Compatible Learned Compression for 3D Gaussian Splatting

Feiyang Yu, Qi Yang, Wenjie Huang +3

Video-based 3D Gaussian Splatting (3DGS) compression methods provide a practical route by representing Gaussian attributes as 2D maps and coding them with standard video codecs. Am…

cs.CV2026

Hybrid-PCGC: Hybrid Point Cloud Geometry Compression Bridging Generalization-based Model and Implicit Neural Representation

Wenjie Huang, Qi Yang, Shuting Xia +3

Efficient point cloud geometry compression (PCGC) is essential for 3D sensing applications such as autonomous driving and digital twins. Hybrid methods combine the generalization o…

eess.IV2025

TVMC: Time-Varying Mesh Compression via Multi-Stage Anchor Mesh Generation

He Huang, Qi Yang, Yiling Xu +2

Time-varying meshes, characterized by dynamic connectivity and varying vertex counts, hold significant promise for applications such as augmented reality. However, their practical…

cs.CV2025

Towards Fine-Grained Text-to-3D Quality Assessment: A Benchmark and A Two-Stage Rank-Learning Metric

Bingyang Cui, Yujie Zhang, Qi Yang +2

Recent advances in Text-to-3D (T23D) generative models have enabled the synthesis of diverse, high-fidelity 3D assets from textual prompts. However, existing challenges restrict th…

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

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.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.CV2025

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder

Qi Yang, Le Yang, Geert Van Der Auwera +1

Most existing 3D Gaussian Splatting (3DGS) compression schemes focus on producing compact 3DGS representation via implicit data embedding. They have long coding times and highly cu…

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…

cs.CV2024

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation

Yujie Zhang, Bingyang Cui, Qi Yang +2

Text-to-3D generation has achieved remarkable progress in recent years, yet evaluating these methods remains challenging for two reasons: i) Existing benchmarks lack fine-grained e…

cs.MM2024★ 1 cited

Inter-Frame Coding for Dynamic Meshes via Coarse-to-Fine Anchor Mesh Generation

He Huang, Lizhi Hou, Qi Yang +1

In the current Video-based Dynamic Mesh Coding (V-DMC) standard, inter-frame coding is restricted to mesh frames with constant topology. Consequently, temporal redundancy is not fu…

cs.CV2024

A Hierarchical Compression Technique for 3D Gaussian Splatting Compression

He Huang, Wenjie Huang, Qi Yang +2

3D Gaussian Splatting (GS) demonstrates excellent rendering quality and generation speed in novel view synthesis. However, substantial data size poses challenges for storage and tr…

cs.CV2024

A Benchmark for Gaussian Splatting Compression and Quality Assessment Study

Qi Yang, Kaifa Yang, Yuke Xing +2

To fill the gap of traditional GS compression method, in this paper, we first propose a simple and effective GS data compression anchor called Graph-based GS Compression (GGSC). GG…

eess.IV2024

Explicit-NeRF-QA: A Quality Assessment Database for Explicit NeRF Model Compression

Yuke Xing, Qi Yang, Kaifa Yang +2

In recent years, Neural Radiance Fields (NeRF) have demonstrated significant advantages in representing and synthesizing 3D scenes. Explicit NeRF models facilitate the practical Ne…