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20242026
most citedMLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression

2 citations · 2 across the 3 of their papers we have counts for

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6 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

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…

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.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…