Timo Aila
16 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (10)
🗺️
Taxonomy Completionist
(28)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🤝
Dynamic Duo
(16)
🚀
Conference Pioneer
🗃️
Keyword Collector
(55)
🔥
Unstoppable
(7)
💎
Century Club
(16)
Conferences
NIPS (8)
CVPR (3)
ICLR (2)
ICML (2)
ICCV (1)
Top co-authors
Keywords
image generation
(9)
generative adversarial network
(5)
diffusion model
(4)
classifier-free guidance
(2)
self-supervised learning
(2)
latent space
(2)
image quality
(2)
style transfer
(1)
image restoration
(1)
few-shot learning
(1)
data augmentation
(1)
image synthesis
(1)
adversarial training
(1)
image-to-image translation
(1)
model distillation
(1)
text-to-image synthesis
(1)
network architecture
(1)
signal processing
(1)
signal reconstruction
(1)
image denoising
(1)
Papers
Analyzing and Improving the Training Dynamics of Diffusion Models
CVPR 2024
Guiding a Diffusion Model with a Bad Version of Itself
NIPS 2024
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
NIPS 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
Generating Long Videos of Dynamic Scenes
NIPS 2022
Elucidating the Design Space of Diffusion-Based Generative Models
NIPS 2022
Alias-Free Generative Adversarial Networks
NIPS 2021
Training Generative Adversarial Networks with Limited Data
NIPS 2020
Analyzing and Improving the Image Quality of StyleGAN
CVPR 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
CVPR 2019
High-Quality Self-Supervised Deep Image Denoising
NIPS 2019
Improved Precision and Recall Metric for Assessing Generative Models
NIPS 2019
Few-Shot Unsupervised Image-to-Image Translation
ICCV 2019
Noise2Noise: Learning Image Restoration without Clean Data
ICML 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ICLR 2018