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20242026
most citedBoosting Neural Representations for Videos with a Conditional Decoder

2 citations · 2 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes

Xinjie Zhang, Zhening Liu, Yifan Zhang +7

4D Gaussian Splatting (4DGS) has recently emerged as a promising technique for capturing complex dynamic 3D scenes with high fidelity. It utilizes a 4D Gaussian representation and…

eess.IV2024

Task-Aware Encoder Control for Deep Video Compression

Xingtong Ge, Jixiang Luo, Xinjie Zhang +7

Prior research on deep video compression (DVC) for machine tasks typically necessitates training a unique codec for each specific task, mandating a dedicated decoder per task. In c…

eess.IV2024★ 2 cited

Boosting Neural Representations for Videos with a Conditional Decoder

Xinjie Zhang, Ren Yang, Dailan He +5

Implicit neural representations (INRs) have emerged as a promising approach for video storage and processing, showing remarkable versatility across various video tasks. However, ex…

eess.IV2024

Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization

Jixiang Luo, Yan Wang, Hongwei Qin

Learned Image Compression (LIC) has achieved dramatic progress regarding objective and subjective metrics. MSE-based models aim to improve objective metrics while generative models…

eess.IV2024

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

Xinjie Zhang, Xingtong Ge, Tongda Xu +6

Implicit neural representations (INRs) recently achieved great success in image representation and compression, offering high visual quality and fast rendering speeds with 10-1000…

eess.IV2024

CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression

Xinjie Zhang, Shenyuan Gao, Zhening Liu +6

Existing learning-based stereo image codec adopt sophisticated transformation with simple entropy models derived from single image codecs to encode latent representations. However,…