Posts by Tag

3D reconstruction

Superquadrics Revisited

3 minute read

Recent advances in deep learning coupled with the abundance of large shape repositories gave rise to various methods that seek to learn the 3D model of an ob...

Occupancy Networks

4 minute read

In recent years, deep learning has led to many breakthroughs in computer vision. Many tasks such as object detection, semantic segmentation, optical flow est...

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deep learning

Superquadrics Revisited

3 minute read

Recent advances in deep learning coupled with the abundance of large shape repositories gave rise to various methods that seek to learn the 3D model of an ob...

Occupancy Networks

4 minute read

In recent years, deep learning has led to many breakthroughs in computer vision. Many tasks such as object detection, semantic segmentation, optical flow est...

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3D representations

Superquadrics Revisited

3 minute read

Recent advances in deep learning coupled with the abundance of large shape repositories gave rise to various methods that seek to learn the 3D model of an ob...

Occupancy Networks

4 minute read

In recent years, deep learning has led to many breakthroughs in computer vision. Many tasks such as object detection, semantic segmentation, optical flow est...

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single view 3D reconstruction

Occupancy Networks

4 minute read

In recent years, deep learning has led to many breakthroughs in computer vision. Many tasks such as object detection, semantic segmentation, optical flow est...

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primitive-based representations

Superquadrics Revisited

3 minute read

Recent advances in deep learning coupled with the abundance of large shape repositories gave rise to various methods that seek to learn the 3D model of an ob...

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