Learning Gain Map for Inverse Tone Mapping
Yinuo Liao, Yuanshen Guan, Ruikang Xu, Jiacheng Li, Shida Sun +1 more
2/12/2026
No official code found. Best implementation: qtlark/GMNet (33 stars, MIT, last commit 2026-04-21).
No official code found. Best implementation: qtlark/GMNet (33 stars, MIT, last commit 2026-04-21).
Domain Gap Embeddings for Generative Dataset Augmentation
Unhackable Temporal Reward for Scalable Video MLLMs
Serving Graph Compression for Graph Neural Networks
Optimizing Mode Connectivity for Class Incremental Learning
Towards Stable Representations for Protein Interface Prediction
Leveraging Imperfect Restoration for Data Availability Attack
@article{liao2026learning,
title = {Learning Gain Map for Inverse Tone Mapping},
author = {Yinuo Liao and Yuanshen Guan and Ruikang Xu and Jiacheng Li and Shida Sun and Zhiwei Xiong},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:64e1fd8cde5f1ba48f0d1b6178046bf2718c2ff1},
journal = {ICLR 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/64e1fd8cde5f1ba48f0d1b6178046bf2718c2ff1)