GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images
No confident code implementation found for this paper. 1 possible match can be shown below.
No confident code implementation found for this paper. 1 possible match can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection
CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
@article{pal2026gammaface,
title = {GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images},
author = {Basudha Pal and Arunkumar Kannan and Ram Prabhakar Kathirvel and Alice J. O'Toole and Rama Chellappa},
year = {2026},
doi = {10.1007/978-3-031-72855-6_27},
url = {https://doi.org/10.1007/978-3-031-72855-6_27},
journal = {ECCV 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/2a156f80425dcc01ac929498c0fe0c2afd5e4bf4)