Timo Aila
16 papers · 2018–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(10)
🤝
Dynamic Duo
(16)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(60)
Venues
Top co-authors
Research topics
Deep Learning
(14)
Models
(13)
Machine Learning
(10)
Computer Vision
(9)
Generation
(7)
Application Areas
(4)
Architectures
(4)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Processing
(3)
Techniques
(3)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Keywords
image generation
(11)
generative adversarial network
(6)
diffusion model
(4)
image quality
(2)
classifier-free guidance
(2)
self-supervised learning
(2)
progressive growing
(2)
latent space
(2)
image restoration
(1)
model distillation
(1)
network architecture
(1)
data augmentation
(1)
image synthesis
(1)
adversarial training
(1)
image classification
(1)
signal processing
(1)
text-to-image synthesis
(1)
image denoising
(1)
neural network optimization
(1)
video generation
(1)
Papers
Analyzing and Improving the Training Dynamics of Diffusion Models
CVPR 2024
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
NeurIPS 2024
Guiding a Diffusion Model with a Bad Version of Itself
NeurIPS 2024
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
ICML 2023
The Role of ImageNet Classes in Fréchet Inception Distance
ICLR 2023
Elucidating the Design Space of Diffusion-Based Generative Models
NeurIPS 2022
Generating Long Videos of Dynamic Scenes
NeurIPS 2022
Alias-Free Generative Adversarial Networks
NeurIPS 2021
Analyzing and Improving the Image Quality of StyleGAN
CVPR 2020
Training Generative Adversarial Networks with Limited Data
NeurIPS 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
CVPR 2019
Few-Shot Unsupervised Image-to-Image Translation
ICCV 2019
High-Quality Self-Supervised Deep Image Denoising
NeurIPS 2019
Improved Precision and Recall Metric for Assessing Generative Models
NeurIPS 2019
Noise2Noise: Learning Image Restoration without Clean Data
ICML 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ICLR 2018