Shanzhi Yin

Orcid: 0009-0007-0188-6818

According to our database1, Shanzhi Yin authored at least 18 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Lightweight Dual-Mode Optimization for Generative Face Video Coding.
CoRR, August, 2025

Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding.
CoRR, June, 2025

Compressing Human Body Video with Interactive Semantics: A Generative Approach.
CoRR, May, 2025

Pleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence.
CoRR, February, 2025

Compressing Scene Dynamics: A Generative Approach.
Proceedings of the Data Compression Conference, 2025

Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens.
Proceedings of the Data Compression Conference, 2025

2024
Multirate Progressive Entropy Model for Learned Image Compression.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Standardizing Generative Face Video Compression using Supplemental Enhancement Information.
CoRR, 2024

Generative Human Video Compression with Multi-granularity Temporal Trajectory Factorization.
CoRR, 2024

Fine-Grained Adjustable Entropy Models for Rate-Complexity Jointly Adjustable Image Compression.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Light-Weighted Temporal Evolution Inference for Generative Face Video Compression.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Generative Visual Compression: A Review.
Proceedings of the IEEE International Conference on Image Processing, 2024

Bandwidth-Efficient Inference for Nerual Image Compression.
Proceedings of the IEEE International Conference on Acoustics, 2024

Enabling Translatability of Generative Face Video Coding: A Unified Face Feature Transcoding Framework.
Proceedings of the Data Compression Conference, 2024

2023
Bandwidth-efficient Inference for Neural Image Compression.
CoRR, 2023

2022
Exploring Structural Sparsity in Neural Image Compression.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Universal Efficient Variable-Rate Neural Image Compression.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Universal Efficient Variable-rate Neural Image Compression.
CoRR, 2021


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