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Found 5 papers, 2 papers with code
Blind Localization and Clustering of Anomalies in Textures
By identifying the anomalous regions with high fidelity, we can restrict our focus to those regions of interest; then, contrastive learning is employed to increase the separability of different anomaly types and reduce the intra-class variation.
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
We propose a novel method for Zero-Shot Anomaly Localization on textures.
NPBG++: Accelerating Neural Point-Based Graphics
We present a new system (NPBG++) for the novel view synthesis (NVS) task that achieves high rendering realism with low scene fitting time.
Multi-sensor large-scale dataset for multi-view 3D reconstruction
We expect our dataset will be useful for evaluation and training of 3D reconstruction algorithms and for related tasks.
Pose Manipulation with Identity Preservation
Unlike previous approaches which require large datasets of a specific person for training, our approach may start from a scarce set of images, even from a single image.
