awesome-3d-compression
Papers and such on 3D data compression and streaming
https://github.com/tovacinni/awesome-3d-compression
Last synced: 17 days ago
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Related Surveys / Position Papers / Broadly Applicable Papers
- Compression is Again Driving the Evolution of Media
- State-of-the-art in Compressed GPU-Based Direct Volume Rendering
- Nonlinear Transform Coding
- Toward Truly Immersive Holographic-Type Communication: Challenges and Solutions
- Extremely Interactive and Low-Latency Services in 5G and Beyond Mobile Systems
- Neural Fields in Visual Computing and Beyond
- 3D Mesh Compression: Survey, Comparisons, and Emerging Trends
- 3D Mesh Compression: Survey, Comparisons, and Emerging Trends
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Standards
- MPEG-I: Coded Representation of Immersive Media
- Emerging MPEG Standards for Point Cloud Compression
- A Comprehensive Study and Comparison of Core Technologies for MPEG 3-D Point Cloud Compression
- An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC)
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Systems Papers
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Continuous Point Clouds
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Compression
- Self-similarity for accurate compression of point sampled surfaces
- 3D point cloud compression using conventional image compression for efficient data transmission
- Compression and Rendering of Textured Point Clouds via Sparse Coding
- Compression and Rendering of Textured Point Clouds via Sparse Coding
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Voxelized Point Clouds
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Compression
- Point Cloud Attribute Compression with Graph Transform
- Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform
- Deep Implicit Volume Compression
- OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
- MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
- Region adaptive graph fourier transform for 3d point clouds
- VoxelContext-Net: An Octree based Framework for Point Cloud Compression
- Moving Basis Decomposition for Precomputed Light Transport
- Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention
- A Volumetric Approach to Point Cloud Compression—Part I: Attribute Compression
- A Volumetric Approach to Point Cloud Compression—Part II: Geometry Compression
- Geometry and attribute compression for voxel scenes
- Real-time compression and streaming of 4D performances
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Post-processing
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Adaptive Streaming
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Neural Fields
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Representation
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Compression
- Compressive Neural Representations of Volumetric Scalar Fields
- 3D Scene Compression through Entropy Penalized Neural Representation Functions
- NeRV: Neural Representations for Videos
- COIN: COmpression with Implicit Neural Representations
- COIN++: Data Agnostic Neural Compression
- LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
- Implicit Neural Video Compression
- Neural Motion Compression with Frequency-adaptive Fourier Feature Network
- Streamable Neural Fields
- On Quantizing Implicit Neural Representations
- Masked Wavelet Representation for Compact Neural Radiance Fields
- MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
- Variable Bitrate Neural Fields
- Implicit Neural Representations for Image Compression
- Neural Motion Compression with Frequency-adaptive Fourier Feature Network
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Programming Languages
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