Janne Hellsten

According to our database, Janne Hellsten authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models.

David McAllister, Miika Aittala, Tero Karras, Janne Hellsten, Angjoo Kanazawa, Timo Aila, Samuli Laine

CoRR, March, 2026

2024

Analyzing and Improving the Training Dynamics of Diffusion Models.

Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Generating Long Videos of Dynamic Scenes.

Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Alias-Free Generative Adversarial Networks.

Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Modular primitives for high-performance differentiable rendering.

Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila

ACM Trans. Graph., 2020

Training Generative Adversarial Networks with Limited Data.

Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Analyzing and Improving the Image Quality of StyleGAN.

Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020