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20232026
most citedUnified learning-based lossy and lossless JPEG recompression

12 citations · 12 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Tail-Aware Post-Training Quantization for 3D Geometry Models

Sicheng Pan, Chen Tang, Shuzhao Xie +6

The burgeoning complexity and scale of 3D geometry models pose significant challenges for deployment on resource-constrained platforms. While Post-Training Quantization (PTQ) enabl…

cs.CV2025

Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression

Xiang Liu, Yimin Zhou, Jinxiang Wang +9

The recent advent of 3D Gaussian Splatting (3DGS) has marked a significant breakthrough in real-time novel view synthesis. However, the rapid proliferation of 3DGS-based algorithms…

cs.CV2025

High Quality Underwater Image Compression with Adaptive Color Correction

Yimin Zhou, Yichong Xia, Sicheng Pan +6

With the increasing exploration and exploitation of the underwater world, underwater images have become a critical medium for human interaction with marine environments, driving ex…

cs.CV2025

FaSDiff: Balancing Perception and Semantics in Face Compression via Stable Diffusion Priors

Yimin Zhou, Yichong Xia, Bin Chen +4

With the increasing deployment of facial image data across a wide range of applications, efficient compression tailored to facial semantics has become critical for both storage and…

cs.CV2023★ 12 cited

Unified learning-based lossy and lossless JPEG recompression

Jianghui Zhang, Yuanyuan Wang, Lina Guo +5

JPEG is still the most widely used image compression algorithm. Most image compression algorithms only consider uncompressed original image, while ignoring a large number of alread…