Michal Drozdzal
18 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
(15)
Machine Learning
(12)
Computer Vision
(10)
Models
(9)
Generation
(7)
Artificial Intelligence
(6)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Analysis
(3)
Core Methods
(3)
Optimization & Theory
(3)
Architectures
(2)
Domain-Specific
(2)
Keywords
image generation
(3)
latent diffusion model
(3)
generative adversarial network
(2)
mri reconstruction
(2)
data manifold
(2)
multimodal learning
(2)
flow matching
(2)
generative model
(2)
few-shot learning
(1)
video generation
(1)
multi-task learning
(1)
model robustness
(1)
attention mechanism
(1)
data augmentation
(1)
image classification
(1)
uncertainty quantification
(1)
visual grounding
(1)
visual perception
(1)
sample efficiency
(1)
image reconstruction
(1)
Papers
Inference-time Physics Alignment of Video Generative Models with Latent World Models
CVPR 2026
TV2TV: A Unified Framework for Interleaved Language and Video Generation
CVPR 2026
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
ICLR 2025
Boosting Latent Diffusion with Perceptual Objectives
ICLR 2025
Controlling Multimodal LLMs via Reward-guided Decoding
ICCV 2025
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
ICML 2025
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
ECCV 2024
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
NeurIPS 2024
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
ICLR 2023
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
MIDL 2022
Active 3D Shape Reconstruction from Vision and Touch
NeurIPS 2021
Instance-Conditioned GAN
NeurIPS 2021
Parameter Prediction for Unseen Deep Architectures
NeurIPS 2021
3D Shape Reconstruction from Vision and Touch
NeurIPS 2020
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
MIDL 2020
Instance Selection for GANs
NeurIPS 2020
Inverse Cooking: Recipe Generation From Food Images
CVPR 2019
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
CVPR 2019