Imagen de Portada

DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Xiaoge, Wu, Zijie, Nasim, Mehwish, Feng, Mingtao, Anwar, Saeed, Mian, Ajmal
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DiffCom: Channel Received Signal is a Natural Condition to Guide Diffusion Posterior Sampling
por: Wang, Sixian, et al.
Publicado: (2024)

A Lightweight Model for Perceptual Image Compression via Implicit Priors
por: Wei, Hao, et al.
Publicado: (2025)

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
por: Zhu, Zihao, et al.
Publicado: (2024)

FLaTEC: Frequency-Disentangled Latent Triplanes for Efficient Compression of LiDAR Point Clouds
por: Zhang, Xiaoge, et al.
Publicado: (2025)

Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion
por: Guo, Lianghu, et al.
Publicado: (2024)

RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion
por: Li, Zhiyuan, et al.
Publicado: (2024)

High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
por: Song, Juan, et al.
Publicado: (2024)

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds
por: Liu, Kai, et al.
Publicado: (2024)

GeoDiff-SAR II: 3D-Driven Foundation Diffusion Models for SAR Generation via Decoupled Control
por: Wu, Xuanting, et al.
Publicado: (2026)

Geometric Prior Based Deep Human Point Cloud Geometry Compression
por: Wu, Xinju, et al.
Publicado: (2023)

Sparse Point Clouds Assisted Learned Image Compression
por: Jiang, Yiheng, et al.
Publicado: (2024)

Visual Attention Methods in Deep Learning: An In-Depth Survey
por: Hassanin, Mohammed, et al.
Publicado: (2022)

Image Watermarking of Generative Diffusion Models
por: Chen, Yunzhuo, et al.
Publicado: (2025)

On the Impact of LiDAR Point Cloud Compression on Remote Semantic Segmentation
por: Fernandes, Tiago de S., et al.
Publicado: (2025)

Blind Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
por: Guo, Tian, et al.
Publicado: (2026)

GeoDiff-SAR: A Geometric Prior Guided Diffusion Model for SAR Image Generation
por: Zhang, Fan, et al.
Publicado: (2026)

LPCM: Learning-based Predictive Coding for LiDAR Point Cloud Compression
por: Sun, Chang, et al.
Publicado: (2025)

Matching the Optimal Denoiser in Point Cloud Diffusion with (Improved) Rotational Alignment
por: Daigavane, Ameya, et al.
Publicado: (2025)

Subjective Quality Database and Objective Study of Compressed Point Clouds With 6DoF Head-Mounted Display
por: Wu, Xinju, et al.
Publicado: (2020)

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
por: Ren, Yulin, et al.
Publicado: (2024)

Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction
por: Liang, Shijun, et al.
Publicado: (2024)

Performance analysis of Deep Learning-based Lossy Point Cloud Geometry Compression Coding Solutions
por: Prazeres, Joao, et al.
Publicado: (2024)

NAIMA: Semantics Aware RGB Guided Depth Super-Resolution
por: Nasir, Tayyab, et al.
Publicado: (2026)

Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content
por: Wang, Qizhe, et al.
Publicado: (2025)

PET Image Denoising via Text-Guided Diffusion: Integrating Anatomical Priors through Text Prompts
por: Yu, Boxiao, et al.
Publicado: (2025)

Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
por: Li, Dingquan, et al.
Publicado: (2024)

Semantics-Guided Generative Image Compression
por: Wu, Cheng-Lin, et al.
Publicado: (2025)

FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image Restoration
por: Zhang, Ruicheng, et al.
Publicado: (2025)

M2Diff: Multi-Modality Multi-Task Enhanced Diffusion Model for MRI-Guided Low-Dose PET Enhancement
por: Yar, Ghulam Nabi Ahmad Hassan, et al.
Publicado: (2026)

End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
por: Nguyen, Dat Thanh, et al.
Publicado: (2024)

Diff-DTI: Fast Diffusion Tensor Imaging Using A Feature-Enhanced Joint Diffusion Model
por: Zhang, Lang, et al.
Publicado: (2024)

DiffPR: Diffusion-Based Phase Reconstruction via Frequency-Decoupled Learning
por: Zhang, Yi
Publicado: (2025)

Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression
por: Cao, Zhi, et al.
Publicado: (2024)

Diff-GO$^\text{n}$: Enhancing Diffusion Models for Goal-Oriented Communications
por: Wanninayaka, Suchinthaka, et al.
Publicado: (2024)

cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold
por: Shabeeb, Zain, et al.
Publicado: (2025)

Image Colorization: A Survey and Dataset
por: Anwar, Saeed, et al.
Publicado: (2020)

Diffusion-aided Extreme Video Compression with Lightweight Semantics Guidance
por: Zhang, Maojun, et al.
Publicado: (2026)

Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
por: Ma, Wanhao, et al.
Publicado: (2025)

Exploiting Topological Priors for Boosting Point Cloud Generation
por: Chen, Baiyuan
Publicado: (2024)

Scalable Human-Machine Point Cloud Compression
por: Ulhaq, Mateen, et al.
Publicado: (2024)