RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation

Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou
2/12/2026

No confident code implementation found for this paper.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation

98% match2026

3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors

97% match2026

DDGR: Continual Learning with Deep Diffusion-based Generative Replay

97% match1 repo402026

DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement

97% match2026

COPER: Correlation-based Permutations for Multi-View Clustering

96% match1 repo72026

Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning

96% match2026

Cite this paper

@article{zhao2026rleg,
  title  = {RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation},
  author = {Liming Zhao and Kecheng Zheng and Yun Zheng and Deli Zhao and Jingren Zhou},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:06fcd9dfbc26b13b81cc4bae573e43c37e671903},
  journal = {ICML 2023 2023}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/06fcd9dfbc26b13b81cc4bae573e43c37e671903.svg)](https://codeofpaper.com/paper/06fcd9dfbc26b13b81cc4bae573e43c37e671903)

Discussion