Cover Image

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Kai, You, Kang, Gao, Pan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
by: Beemelmanns, Till, et al.
Published: (2024)

MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression
by: Hsieh, Kai-Hsiang, et al.
Published: (2025)

Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
by: Liu, Kai, et al.
Published: (2024)

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
by: You, Kang, et al.
Published: (2025)

Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization
by: Bao, Jingwei, et al.
Published: (2024)

SEDD-PCC: A Single Encoder-Dual Decoder Framework For End-To-End Learned Point Cloud Compression
by: Hsieh, Kai Hsiang, et al.
Published: (2025)

UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach
by: Wang, Kangli, et al.
Published: (2025)

DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
by: Zhang, Xiaoge, et al.
Published: (2024)

STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
by: Guo, Tian, et al.
Published: (2025)

Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
by: You, Kang, et al.
Published: (2024)

High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC
by: Wei, Yuxuan, et al.
Published: (2025)

Point Cloud-Assisted Neural Image Compression
by: Li, Ziqun, et al.
Published: (2024)

SER-Diff: Synthetic Error Replay Diffusion for Incremental Brain Tumor Segmentation
by: Makanaboyina, Sashank
Published: (2025)

CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression
by: Jiang, Caiwen, et al.
Published: (2024)

PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
by: Zimmer, Walter, et al.
Published: (2024)

DiffVC-OSD: One-Step Diffusion-based Perceptual Neural Video Compression Framework
by: Ma, Wenzhuo, et al.
Published: (2025)

3D Wavelet Latent Diffusion Model for Whole-Body MR-to-CT Modality Translation
by: Zheng, Jiaxu, et al.
Published: (2025)

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

No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
by: Chen, Wu, et al.
Published: (2024)

Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
by: Chen, I-Hsiang, et al.
Published: (2024)

ViT-NeBLa: A Hybrid Vision Transformer and Neural Beer-Lambert Framework for Single-View 3D Reconstruction of Oral Anatomy from Panoramic Radiographs
by: Parida, Bikram Keshari, et al.
Published: (2025)

High-Frequency Enhanced Hybrid Neural Representation for Video Compression
by: Yu, Li, et al.
Published: (2024)

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis
by: Chen, Ruoyu, et al.
Published: (2024)

SCP: Spherical-Coordinate-based Learned Point Cloud Compression
by: Luo, Ao, et al.
Published: (2023)

PVContext: Hybrid Context Model for Point Cloud Compression
by: Zhang, Guoqing, et al.
Published: (2024)

Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression
by: Cho, Woojin, et al.
Published: (2025)

Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
by: Kim, Namhoon, et al.
Published: (2025)

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)

PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression
by: Pang, Jiahao, et al.
Published: (2024)

FaSDiff: Balancing Perception and Semantics in Face Compression via Stable Diffusion Priors
by: Zhou, Yimin, et al.
Published: (2025)

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

KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation
by: Zhao, Zhihao, et al.
Published: (2024)

SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds
by: Mao, Xiaolong, et al.
Published: (2024)

DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression
by: Fu, Chunyang, et al.
Published: (2026)

Improving 2D Diffusion Models for 3D Medical Imaging with Inter-Slice Consistent Stochasticity
by: Du, Chenhe, et al.
Published: (2026)

A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond
by: Li, Jiajia, et al.
Published: (2025)

Score-based Diffusion Model for Unpaired Virtual Histology Staining
by: Liu, Anran, et al.
Published: (2025)

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

$ρ$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction
by: Zhou, Li, et al.
Published: (2024)

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
by: Peng, Changhao, et al.
Published: (2025)