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Found 7 papers, 1 papers with code
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing
In this paper, we explore how to use differentiable ray tracing to refine an initial coarse mesh and per-mesh-facet material representation.
Deep Learning for Hindi Text Classification: A Comparison
Usage of deep learning in text processing has revolutionized the techniques for text processing and achieved remarkable results.
Robust Deep Learning with Active Noise Cancellation for Spatial Computing
This paper proposes CANC, a Co-teaching Active Noise Cancellation method, applied in spatial computing to address deep learning trained with extreme noisy labels.
ICodeNet -- A Hierarchical Neural Network Approach for Source Code Author Identification
We have also compared our image-based hierarchical neural network model with simple image-based CNN architecture and text-based CNN and LSTM models to highlight its novelty and efficiency.
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
The memorization effect of deep learning hinders its performance to effectively generalize on test set when learning with noisy labels.
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders.
Iterative Motion Editing with Natural Language
Text-to-motion diffusion models can generate realistic animations from text prompts, but do not support fine-grained motion editing controls.
