:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yuqi, Zhang, Haotian, Li, Li, Liu, Dong, Wu, Feng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2508.09075
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learned Image Compression with Hierarchical Progressive Context Modeling
by: Li, Yuqi, et al.
Published: (2025)

Few-Shot Domain Adaptation for Learned Image Compression
by: Zhang, Tianyu, et al.
Published: (2024)

Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)

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

Scaling Diffusion Transformers to 16 Billion Parameters
by: Fei, Zhengcong, et al.
Published: (2024)

GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation
by: Xiong, Tianwei, et al.
Published: (2025)

Linear Attention Modeling for Learned Image Compression
by: Feng, Donghui, et al.
Published: (2025)

PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
by: Li, Xiao, et al.
Published: (2024)

OmniVLM: A Token-Compressed, Sub-Billion-Parameter Vision-Language Model for Efficient On-Device Inference
by: Chen, Wei, et al.
Published: (2024)

Scaling Pre-training to One Hundred Billion Data for Vision Language Models
by: Wang, Xiao, et al.
Published: (2025)

DMOFC: Discrimination Metric-Optimized Feature Compression
by: Gao, Changsheng, et al.
Published: (2024)

USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s
by: Li, Zhuoyuan, et al.
Published: (2024)

Learned Image Compression with Dictionary-based Entropy Model
by: Lu, Jingbo, et al.
Published: (2025)

PromptCIR: Blind Compressed Image Restoration with Prompt Learning
by: Li, Bingchen, et al.
Published: (2024)

An Exploratory Study on Abstract Images and Visual Representations Learned from Them
by: Li, Haotian, et al.
Published: (2025)

Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression
by: Tu, Hanyue, et al.
Published: (2025)

TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling
by: Feng, Xinmin, et al.
Published: (2026)

QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
by: Feng, Weilun, et al.
Published: (2025)

Amber-Image: Efficient Compression of Large-Scale Diffusion Transformers
by: Yang, Chaojie, et al.
Published: (2026)

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
by: Sun, Quan, et al.
Published: (2024)

Expandable, Compressible, Mineable: Open-World Thermal Image Restoration
by: Li, Pu, et al.
Published: (2026)

What If We Recaption Billions of Web Images with LLaMA-3?
by: Li, Xianhang, et al.
Published: (2024)

Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Models
by: Shen, Ruiqi, et al.
Published: (2025)

AnyPcc: Compressing Any Point Cloud with a Single Universal Model
by: Wang, Kangli, et al.
Published: (2025)

RayFormer: Modeling Inter- and Intra-Ray Similarity for NeRF-Based Video Snapshot Compressive Imaging
by: Dong, Yubo, et al.
Published: (2026)

StableCodec: Taming One-Step Diffusion for Extreme Image Compression
by: Zhang, Tianyu, et al.
Published: (2025)

Real-Time Neural Video Compression with Unified Intra and Inter Coding
by: Xiang, Hui, et al.
Published: (2025)

Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
by: Fu, Haisheng, et al.
Published: (2021)

Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding
by: Dong, Cunhui, et al.
Published: (2024)

WSD-MIL: Window Scale Decay Multiple Instance Learning for Whole Slide Image Classification
by: Feng, Le, et al.
Published: (2025)

CoD: A Diffusion Foundation Model for Image Compression
by: Jia, Zhaoyang, et al.
Published: (2025)

RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians
by: Li, Bingling, et al.
Published: (2024)

SEEC: Segmentation-Assisted Multi-Entropy Models for Learned Lossless Image Compression
by: Zheng, Chunhang, et al.
Published: (2025)

Learning Radiance Fields from a Single Snapshot Compressive Image
by: Li, Yunhao, et al.
Published: (2024)

Bi-Directional Deep Contextual Video Compression
by: Sheng, Xihua, et al.
Published: (2024)

Prediction and Reference Quality Adaptation for Learned Video Compression
by: Sheng, Xihua, et al.
Published: (2024)

Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
by: Han, Jian, et al.
Published: (2024)

Traditional Transformation Theory Guided Model for Learned Image Compression
by: Li, Zhiyuan, et al.
Published: (2024)

Multi-Scale Representations by Varying Window Attention for Semantic Segmentation
by: Yan, Haotian, et al.
Published: (2024)

Benchmarking and Enhancing VLM for Compressed Image Understanding
by: Zhang, Zifu, et al.
Published: (2025)