Tero Karras
20 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (10)
π
Conference Polyglot
(5)
π
Academic Marathon
(7)
π
Renaissance Researcher
(5)
π€
Dynamic Duo
(16)
π¬
Deep Specialist
(10)
π
Conference Pioneer
π
Century Club
(20)
ποΈ
Keyword Collector
(73)
π₯
Unstoppable
(8)
Conferences
NIPS (8)
CVPR (5)
ICML (3)
ICCV (2)
ICLR (2)
Top co-authors
Keywords
image generation
(10)
generative adversarial network
(7)
diffusion model
(5)
neural rendering
(2)
classifier-free guidance
(2)
self-supervised learning
(2)
image quality
(2)
latent space
(2)
image restoration
(1)
model distillation
(1)
network architecture
(1)
data augmentation
(1)
geometry estimation
(1)
3d vision
(1)
semi-supervised learning
(1)
image-to-image translation
(1)
text-to-image synthesis
(1)
text-to-image generation
(1)
video generation
(1)
adversarial training
(1)
Papers
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
CVPR 2025
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
Generative Novel View Synthesis with 3D-Aware Diffusion Models
ICCV 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
ICML 2023
The Role of ImageNet Classes in FrΓ©chet Inception Distance
ICLR 2023
Efficient Geometry-Aware 3D Generative Adversarial Networks
CVPR 2022
Elucidating the Design Space of Diffusion-Based Generative Models
NIPS 2022
Generating Long Videos of Dynamic Scenes
NIPS 2022
Alias-Free Generative Adversarial Networks
NIPS 2021
Semi-Supervised StyleGAN for Disentanglement Learning
ICML 2020
Training Generative Adversarial Networks with Limited Data
NIPS 2020
Analyzing and Improving the Image Quality of StyleGAN
CVPR 2020
Improved Precision and Recall Metric for Assessing Generative Models
NIPS 2019
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
NIPS 2019
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ICLR 2018
Noise2Noise: Learning Image Restoration without Clean Data
ICML 2018