Advancing the frontiers of artificial intelligence through cutting-edge research, open datasets, and collaborative innovation in machine learning and computer vision.
Xylar Labs Research Team, Burak Can Oğut
CVPR 2025
We present OrbisGen, a breakthrough AI system for photo editing that combines advanced neural networks with real-time processing capabilities. Our approach achieves state-of-the-art results in image enhancement, object manipulation, and style transfer while maintaining computational efficiency.
Vision Team, Xylar Labs
NeurIPS 2024
Comprehensive analysis of scaling behaviors in modern transformer architectures for multimodal applications. We establish new benchmarks for vision-language models and propose efficient training methodologies.
Systems Team, Xylar Labs
ICML 2024
Advanced techniques for distributed training and inference of billion-parameter models in real-time image processing applications. Our framework reduces latency by 60% while maintaining quality.
Ethics Committee, Xylar Labs
FAccT 2024
We propose a comprehensive framework for developing ethical AI systems in creative applications, addressing bias, fairness, and transparency in AI-generated content.