6 papers · 1 filter
BIGFix: Bidirectional Image Generation with Token Fixing
Victor Besnier, David Hurych, Andrei Bursuc +1
Recent advances in image and video generation have raised significant interest from both academia and industry. A key challenge in this field is improving inference efficiency, as…
Halton Scheduler For Masked Generative Image Transformer
Victor Besnier, Mickael Chen, David Hurych +2
Masked Generative Image Transformers (MaskGIT) have emerged as a scalable and efficient image generation framework, able to deliver high-quality visuals with low inference costs. H…
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
Florent Bartoccioni, Elias Ramzi, Victor Besnier +14
We explore the potential of large-scale generative video models for autonomous driving, introducing an open-source auto-regressive video model (VaViM) and its companion video-actio…
Artificial Dummies for Urban Dataset Augmentation
Antonín Vobecký, David Hurych, Michal Uřičář +2
Existing datasets for training pedestrian detectors in images suffer from limited appearance and pose variation. The most challenging scenarios are rarely included because they are…
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
Michal Uricar, Pavel Krizek, David Hurych +3
Generative Adversarial Networks (GAN) have gained a lot of popularity from their introduction in 2014 till present. Research on GAN is rapidly growing and there are many variants o…
Challenges in Designing Datasets and Validation for Autonomous Driving
Michal Uricar, David Hurych, Pavel Krizek +1
Autonomous driving is getting a lot of attention in the last decade and will be the hot topic at least until the first successful certification of a car with Level 5 autonomy. Ther…