Learned Compression of Encoding Distributions
Fuente:
arXiv
Saved in:
| Main Authors: | Ulhaq, Mateen, Bajić, Ivan V. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Human-Machine Point Cloud Compression
by: Ulhaq, Mateen, et al.
Published: (2024)
by: Ulhaq, Mateen, et al.
Published: (2024)
Learned Compression for Images and Point Clouds
by: Ulhaq, Mateen
Published: (2024)
by: Ulhaq, Mateen
Published: (2024)
Learned Multimodal Compression for Autonomous Driving
by: Hadizadeh, Hadi, et al.
Published: (2024)
by: Hadizadeh, Hadi, et al.
Published: (2024)
Compressive Feature Selection for Remote Visual Multi-Task Inference
by: Alvar, Saeed Ranjbar, et al.
Published: (2024)
by: Alvar, Saeed Ranjbar, et al.
Published: (2024)
Learned Scalable Video Coding For Humans and Machines
by: Hadizadeh, Hadi, et al.
Published: (2023)
by: Hadizadeh, Hadi, et al.
Published: (2023)
Mutual Information Analysis in Multimodal Learning Systems
by: Hadizadeh, Hadi, et al.
Published: (2024)
by: Hadizadeh, Hadi, et al.
Published: (2024)
DeDelayed: Deleting Remote Inference Delay via On-Device Correction
by: Jacobellis, Dan, et al.
Published: (2025)
by: Jacobellis, Dan, et al.
Published: (2025)
Compressed Video Super-Resolution based on Hierarchical Encoding
by: Jiang, Yuxuan, et al.
Published: (2025)
by: Jiang, Yuxuan, et al.
Published: (2025)
Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding
by: Jin, Zhenyu, et al.
Published: (2025)
by: Jin, Zhenyu, et al.
Published: (2025)
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
by: Kwan, Ho Man, et al.
Published: (2023)
by: Kwan, Ho Man, et al.
Published: (2023)
Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery
by: Khan, Asim, et al.
Published: (2024)
by: Khan, Asim, et al.
Published: (2024)
Color Learning for Image Compression
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2023)
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2023)
Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution
by: Han, Minghao, et al.
Published: (2025)
by: Han, Minghao, et al.
Published: (2025)
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction
by: Bogatyrev, Evgeney, et al.
Published: (2023)
by: Bogatyrev, Evgeney, et al.
Published: (2023)
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping
by: Yang, Hao-Chun, et al.
Published: (2023)
by: Yang, Hao-Chun, et al.
Published: (2023)
Learned Off-aperture Encoding for Wide Field-of-view RGBD Imaging
by: Wei, Haoyu, et al.
Published: (2025)
by: Wei, Haoyu, et al.
Published: (2025)
Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)
by: Zhang, Haotian, et al.
Published: (2024)
Progressive Learned Image Compression for Machine Perception
by: Kim, Jungwoo, et al.
Published: (2025)
by: Kim, Jungwoo, et al.
Published: (2025)
Sliding Window Attention for Learned Video Compression
by: Kopte, Alexander, et al.
Published: (2025)
by: Kopte, Alexander, et al.
Published: (2025)
Frequency-Aware Transformer for Learned Image Compression
by: Li, Han, et al.
Published: (2023)
by: Li, Han, et al.
Published: (2023)
Accelerating Learned Video Compression via Low-Resolution Representation Learning
by: Qiu, Zidian, et al.
Published: (2024)
by: Qiu, Zidian, et al.
Published: (2024)
Approximately Invertible Neural Network for Learned Image Compression
by: Gao, Yanbo, et al.
Published: (2024)
by: Gao, Yanbo, et al.
Published: (2024)
CALLIC: Content Adaptive Learning for Lossless Image Compression
by: Li, Daxin, et al.
Published: (2024)
by: Li, Daxin, et al.
Published: (2024)
Causal Context Adjustment Loss for Learned Image Compression
by: Han, Minghao, et al.
Published: (2024)
by: Han, Minghao, et al.
Published: (2024)
Sparse Point Clouds Assisted Learned Image Compression
by: Jiang, Yiheng, et al.
Published: (2024)
by: Jiang, Yiheng, et al.
Published: (2024)
Few-Shot Domain Adaptation for Learned Image Compression
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
Prediction and Reference Quality Adaptation for Learned Video Compression
by: Sheng, Xihua, et al.
Published: (2024)
by: Sheng, Xihua, et al.
Published: (2024)
Domain Adaptation for Learned Image Compression with Supervised Adapters
by: Presta, Alberto, et al.
Published: (2024)
by: Presta, Alberto, et al.
Published: (2024)
On Disentangled Training for Nonlinear Transform in Learned Image Compression
by: Li, Han, et al.
Published: (2025)
by: Li, Han, et al.
Published: (2025)
CMamba: Learned Image Compression with State Space Models
by: Wu, Zhuojie, et al.
Published: (2025)
by: Wu, Zhuojie, et al.
Published: (2025)
Balanced Rate-Distortion Optimization in Learned Image Compression
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Efficient Learned Image Compression without Entropy Coding
by: Cao, Hao, et al.
Published: (2026)
by: Cao, Hao, et al.
Published: (2026)
Traditional Transformation Theory Guided Model for Learned Image Compression
by: Li, Zhiyuan, et al.
Published: (2024)
by: Li, Zhiyuan, et al.
Published: (2024)
A Study on the Effect of Color Spaces in Learned Image Compression
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2024)
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2024)
Learning to Classify New Foods Incrementally Via Compressed Exemplars
by: Yang, Justin, et al.
Published: (2024)
by: Yang, Justin, et al.
Published: (2024)
Learned HDR Image Compression for Perceptually Optimal Storage and Display
by: Cao, Peibei, et al.
Published: (2024)
by: Cao, Peibei, et al.
Published: (2024)
Rethinking Learned Image Compression: Context is All You Need
by: Luo, Jixiang
Published: (2024)
by: Luo, Jixiang
Published: (2024)
MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
by: Hojjat, Ali, et al.
Published: (2024)
by: Hojjat, Ali, et al.
Published: (2024)
Online Meta Adaptation for Variable-Rate Learned Image Compression
by: Jiang, Wei, et al.
Published: (2021)
by: Jiang, Wei, et al.
Published: (2021)
Learning Hierarchical Sparse Transform Coding for 3DGS Compression
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
Similar Items
-
Scalable Human-Machine Point Cloud Compression
by: Ulhaq, Mateen, et al.
Published: (2024) -
Learned Compression for Images and Point Clouds
by: Ulhaq, Mateen
Published: (2024) -
Learned Multimodal Compression for Autonomous Driving
by: Hadizadeh, Hadi, et al.
Published: (2024) -
Compressive Feature Selection for Remote Visual Multi-Task Inference
by: Alvar, Saeed Ranjbar, et al.
Published: (2024) -
Learned Scalable Video Coding For Humans and Machines
by: Hadizadeh, Hadi, et al.
Published: (2023)