Jaakko Lehtinen

Orcid: 0000-0001-9418-4944

According to our database1, Jaakko Lehtinen authored at least 63 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Guiding a Diffusion Model with a Bad Version of Itself.
CoRR, 2024

Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.
CoRR, 2024

Analyzing and Improving the Training Dynamics of Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Invertible Hierarchical Generative Model for Images.
Trans. Mach. Learn. Res., 2023

A Hybrid Generator Architecture for Controllable Face Synthesis.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

The Role of ImageNet Classes in Fréchet Inception Distance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Solving Audio Inverse Problems with a Diffusion Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Disentangling random and cyclic effects in time-lapse sequences.
ACM Trans. Graph., 2022

Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction.
CoRR, 2022

Generating Long Videos of Dynamic Scenes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Appearance-Driven Automatic 3D Model Simplification.
Proceedings of the 32nd Eurographics Symposium on Rendering, 2021

Alias-Free Generative Adversarial Networks.
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.
ACM Trans. Graph., 2020

Training Generative Adversarial Networks with Limited Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GANSpace: Discovering Interpretable GAN Controls.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Analyzing and Improving the Image Quality of StyleGAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Deep convolutional reconstruction for gradient-domain rendering.
ACM Trans. Graph., 2019

Sample-based Monte Carlo denoising using a kernel-splatting network.
ACM Trans. Graph., 2019

E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles.
CoRR, 2019

Self-Supervised Deep Image Denoising.
CoRR, 2019

Quantifying the Error of Light Transport Algorithms.
Comput. Graph. Forum, 2019

High-Quality Self-Supervised Deep Image Denoising.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improved Precision and Recall Metric for Assessing Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Few-Shot Unsupervised Image-to-Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Differentiable Monte Carlo ray tracing through edge sampling.
ACM Trans. Graph., 2018

Noise2Noise: Learning Image Restoration without Clean Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

Progressive Growing of GANs for Improved Quality, Stability, and Variation.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Sequential Monte Carlo Instant Radiosity.
IEEE Trans. Vis. Comput. Graph., 2017

Real-time global illumination by precomputed local reconstruction from sparse radiance probes.
ACM Trans. Graph., 2017

Audio-driven facial animation by joint end-to-end learning of pose and emotion.
ACM Trans. Graph., 2017

Aether: an embedded domain specific sampling language for Monte Carlo rendering.
ACM Trans. Graph., 2017

Production-level facial performance capture using deep convolutional neural networks.
Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

2016
Temporal gradient-domain path tracing.
ACM Trans. Graph., 2016

Reflectance modeling by neural texture synthesis.
ACM Trans. Graph., 2016

Facial Performance Capture with Deep Neural Networks.
CoRR, 2016

2015
Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics.
ACM Trans. Graph., 2015

Gradient-domain path tracing.
ACM Trans. Graph., 2015

Two-shot SVBRDF capture for stationary materials.
ACM Trans. Graph., 2015

Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering.
Comput. Graph. Forum, 2015

Gradient-Domain Bidirectional Path Tracing.
Proceedings of the 26th Eurographics Symposium on Rendering, Rendering, 2015

2014
Improved sampling for gradient-domain metropolis light transport.
ACM Trans. Graph., 2014

Online motion synthesis using sequential Monte Carlo.
ACM Trans. Graph., 2014

Occluder Simplification Using Planar Sections.
Comput. Graph. Forum, 2014

2013
Gradient-domain metropolis light transport.
ACM Trans. Graph., 2013

Practical SVBRDF capture in the frequency domain.
ACM Trans. Graph., 2013

2012
Reconstructing the indirect light field for global illumination.
ACM Trans. Graph., 2012

2011
Decoupled sampling for graphics pipelines.
ACM Trans. Graph., 2011

Temporal light field reconstruction for rendering distribution effects.
ACM Trans. Graph., 2011

Clipless dual-space bounds for faster stochastic rasterization.
ACM Trans. Graph., 2011

2010
A hierarchical volumetric shadow algorithm for single scattering.
ACM Trans. Graph., 2010

Sketching Clothoid Splines Using Shortest Paths.
Comput. Graph. Forum, 2010

2008
A meshless hierarchical representation for light transport.
ACM Trans. Graph., 2008

2007
Theory and algorithms for efficient physically-based illumination.
PhD thesis, 2007

A framework for precomputed and captured light transport.
ACM Trans. Graph., 2007

Incremental Instant Radiosity for Real-Time Indirect Illumination.
Proceedings of the Eurographics Symposium on Rendering Techniques, Grenoble, France, 2007, 2007

2006
An Improved Physically-Based Soft Shadow Volume Algorithm.
Comput. Graph. Forum, 2006

2005
Soft shadow volumes for ray tracing.
ACM Trans. Graph., 2005

Precomputed radiance transfer: theory and practice.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005

2004
Hemispherical Rasterization for Self-Shadowing of Dynamic Objects.
Proceedings of the 15th Eurographics Workshop on Rendering Techniques, 2004

2003
Matrix radiance transfer.
Proceedings of the 2003 Symposium on Interactive 3D Graphics, 2003


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