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Found 5 papers, 2 papers with code
Object-centric Cross-modal Feature Distillation for Event-based Object Detection
In this paper, we develop a novel knowledge distillation approach to shrink the performance gap between these two modalities.
Leveraging 2D Data to Learn Textured 3D Mesh Generation
Thus, it learns to generate meshes that when rendered, produce images similar to those in its training set.
Learned Multi-View Texture Super-Resolution
We present a super-resolution method capable of creating a high-resolution texture map for a virtual 3D object from a set of lower-resolution images of that object.
3D Appearance Super-Resolution with Deep Learning
Experimental results demonstrate that our proposed networks successfully incorporate the 3D geometric information and super-resolve the texture maps.
High Resolution 3D Shape Texture from Multiple Videos
To this goal we use 2D warps for all viewpoints and all temporal frames and a linear image formation model from texture to image space.
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