activity
20222026
most citedMLIC: Multi-Reference Entropy Model for Learned Image Compression

118 citations · 182 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Z-Order Transformer for Feed-Forward Gaussian Splatting

Can Wang, Lei Liu, Wei Jiang +1

Recent advances in 3D Gaussian Splatting (3DGS) have enabled significant progress in photorealistic novel view synthesis. However, traditional 3DGS relies on a slow, iterative opti…

cs.CV2026

simpleposter: A simple baseline for product poster generation

Benlei Cui, Fangao Zeng, Weitao Jiang +6

Product poster generation poses distinct challenges beyond general poster design, requiring both faithful preservation of product appearance and precise control over dense, multi-l…

cs.CV2025

L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression

Yongqi Zhai, Luyang Tang, Wei Jiang +2

Recently, learned video compression (LVC) has shown superior performance under low-delay configuration. However, the performance of learned bi-directional video compression (LBVC)…

cs.CV2024

UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding

Jiayu Yang, Wei Jiang, Yongqi Zhai +2

This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024.Specifically, we…

cs.CV2024

TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation

Wei Jiang, Yongqi Zhai, Hangyu Li +1

This short paper describes our method for the track of image compression. To achieve better perceptual quality, we use the adversarial loss to generate realistic textures, use regi…

cs.CV2023

HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform

Peirong Ning, Wei Jiang, Ronggang Wang

In recent years, there has been rapid development in learned image compression techniques that prioritize ratedistortion-perceptual compression, preserving fine details even at low…

cs.CV2023★ 11 cited

LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression

Wei Jiang, Peirong Ning, Jiayu Yang +3

The effective receptive field (ERF) plays an important role in transform coding, which determines how much redundancy can be removed during transform and how many spatial priors ca…