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…
Let-It-Flow: Simultaneous Optimization of 3D Flow and Object Clustering
Patrik Vacek, David Hurych, Tomáš Svoboda +1
We study the problem of self-supervised 3D scene flow estimation from real large-scale raw point cloud sequences, which is crucial to various tasks like trajectory prediction or in…
Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency
Patrik Vacek, David Hurych, Karel Zimmermann +2
Learning without supervision how to predict 3D scene flows from point clouds is essential to many perception systems. We propose a novel learning framework for this task which impr…
Supervised Anomaly Detection for Complex Industrial Images
Aimira Baitieva, David Hurych, Victor Besnier +1
Automating visual inspection in industrial production lines is essential for increasing product quality across various industries. Anomaly detection (AD) methods serve as robust to…