Saved in:
| Main Authors: | Zhang, Yun, Chen, Feifan, Li, Na, Guo, Zhiwei, Wang, Xu, Miao, Fen, Kwong, Sam |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.22749 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds
by: Zhang, Yun, et al.
Published: (2025)
by: Zhang, Yun, et al.
Published: (2025)
SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds
by: Mao, Xiaolong, et al.
Published: (2024)
by: Mao, Xiaolong, et al.
Published: (2024)
DUGAE: Unified Geometry and Attribute Enhancement via Spatiotemporal Correlations for G-PCC Compressed Dynamic Point Clouds
by: Zhao, Pan, et al.
Published: (2026)
by: Zhao, Pan, et al.
Published: (2026)
Geometric Prior Based Deep Human Point Cloud Geometry Compression
by: Wu, Xinju, et al.
Published: (2023)
by: Wu, Xinju, et al.
Published: (2023)
STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
by: Guo, Tian, et al.
Published: (2025)
by: Guo, Tian, et al.
Published: (2025)
PCE-GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement based on Optimal Transport
by: Guo, Tian, et al.
Published: (2025)
by: Guo, Tian, et al.
Published: (2025)
Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis
by: Yuan, Shangbo, et al.
Published: (2026)
by: Yuan, Shangbo, et al.
Published: (2026)
MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression
by: Hsieh, Kai-Hsiang, et al.
Published: (2025)
by: Hsieh, Kai-Hsiang, et al.
Published: (2025)
UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds
by: Zhao, Pan, et al.
Published: (2025)
by: Zhao, Pan, et al.
Published: (2025)
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry
by: Zhang, Yu, et al.
Published: (2023)
by: Zhang, Yu, et al.
Published: (2023)
DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines
by: Liu, Junqi, et al.
Published: (2024)
by: Liu, Junqi, et al.
Published: (2024)
Joint Semantic and Rendering Enhancements in 3D Gaussian Modeling with Anisotropic Local Encoding
by: He, Jingming, et al.
Published: (2026)
by: He, Jingming, et al.
Published: (2026)
LFIC-DRASC: Deep Light Field Image Compression Using Disentangled Representation and Asymmetrical Strip Convolution
by: Feng, Shiyu, et al.
Published: (2024)
by: Feng, Shiyu, et al.
Published: (2024)
Learning Hierarchical Color Guidance for Depth Map Super-Resolution
by: Cong, Runmin, et al.
Published: (2024)
by: Cong, Runmin, et al.
Published: (2024)
Octree-based Learned Point Cloud Geometry Compression: A Lossy Perspective
by: Zheng, Kaiyu, et al.
Published: (2026)
by: Zheng, Kaiyu, et al.
Published: (2026)
Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion Priors
by: Huang, Tianxin, et al.
Published: (2025)
by: Huang, Tianxin, et al.
Published: (2025)
PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
by: Liu, Yun, et al.
Published: (2024)
by: Liu, Yun, et al.
Published: (2024)
Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
by: Song, Feifan, et al.
Published: (2026)
by: Song, Feifan, et al.
Published: (2026)
Point Cloud Color Constancy
by: Xing, Xiaoyan, et al.
Published: (2021)
by: Xing, Xiaoyan, et al.
Published: (2021)
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
by: Qiu, Kevin, et al.
Published: (2025)
by: Qiu, Kevin, et al.
Published: (2025)
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
by: Li, Jihe, et al.
Published: (2024)
by: Li, Jihe, et al.
Published: (2024)
Deep Learning For Point Cloud Denoising: A Survey
by: Zhang, Chengwei, et al.
Published: (2025)
by: Zhang, Chengwei, et al.
Published: (2025)
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models
by: Tushar, Zahid Hassan, et al.
Published: (2025)
by: Tushar, Zahid Hassan, et al.
Published: (2025)
Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network
by: Zhu, Shaocong, et al.
Published: (2025)
by: Zhu, Shaocong, et al.
Published: (2025)
A Survey of Deep Learning-based Point Cloud Denoising
by: Wang, Jinxi, et al.
Published: (2025)
by: Wang, Jinxi, et al.
Published: (2025)
DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression
by: Fu, Chunyang, et al.
Published: (2026)
by: Fu, Chunyang, et al.
Published: (2026)
Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
by: Ma, Wanhao, et al.
Published: (2025)
by: Ma, Wanhao, et al.
Published: (2025)
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control
by: Rudolph, Michael, et al.
Published: (2024)
by: Rudolph, Michael, et al.
Published: (2024)
Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
by: Yim, Jae-Young, et al.
Published: (2024)
by: Yim, Jae-Young, et al.
Published: (2024)
Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds
by: He, Pei, et al.
Published: (2025)
by: He, Pei, et al.
Published: (2025)
Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment
by: Chen, Baoliang, et al.
Published: (2022)
by: Chen, Baoliang, et al.
Published: (2022)
Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation
by: Zhou, Kaiyue, et al.
Published: (2023)
by: Zhou, Kaiyue, et al.
Published: (2023)
Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
by: You, Kang, et al.
Published: (2024)
by: You, Kang, et al.
Published: (2024)
On-the-fly Point Feature Representation for Point Clouds Analysis
by: Wang, Jiangyi, et al.
Published: (2024)
by: Wang, Jiangyi, et al.
Published: (2024)
Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
by: You, Kang, et al.
Published: (2024)
by: You, Kang, et al.
Published: (2024)
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression
by: Ye, Yuqi, et al.
Published: (2024)
by: Ye, Yuqi, et al.
Published: (2024)
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
by: Saito, Ayumu, et al.
Published: (2024)
by: Saito, Ayumu, et al.
Published: (2024)
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation
by: Lin, Min, et al.
Published: (2024)
by: Lin, Min, et al.
Published: (2024)
PRISM: Color-Stratified Point Cloud Sampling
by: Lim, Hansol, et al.
Published: (2026)
by: Lim, Hansol, et al.
Published: (2026)
Similar Items
-
Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds
by: Zhang, Yun, et al.
Published: (2025) -
SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds
by: Mao, Xiaolong, et al.
Published: (2024) -
DUGAE: Unified Geometry and Attribute Enhancement via Spatiotemporal Correlations for G-PCC Compressed Dynamic Point Clouds
by: Zhao, Pan, et al.
Published: (2026) -
Geometric Prior Based Deep Human Point Cloud Geometry Compression
by: Wu, Xinju, et al.
Published: (2023) -
STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
by: Guo, Tian, et al.
Published: (2025)