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Found 10 papers, 2 papers with code
Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction
However, their effectiveness in reconstructing objects with specular or complex surfaces is typically biased by the directional parameterization used in their view-dependent radiance network.
Multi-View Neural Surface Reconstruction with Structured Light
Three-dimensional (3D) object reconstruction based on differentiable rendering (DR) is an active research topic in computer vision.
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
3D object detection from monocular images is an ill-posed problem due to the projective entanglement of depth and scale.
3D Object Detection
3D Object Detection From Monocular Images
+5
Differentiable Rendering: A Survey
Deep neural networks (DNNs) have shown remarkable performance improvements on vision-related tasks such as object detection or image segmentation.
Self-supervised Learning of 3D Objects from Natural Images
We present a method to learn single-view reconstruction of the 3D shape, pose, and texture of objects from categorized natural images in a self-supervised manner.
Learning View Priors for Single-view 3D Reconstruction
The discriminator is trained to distinguish the reconstructed views of the observed viewpoints from those of the unobserved viewpoints.
Neural 3D Mesh Renderer
Using this renderer, we perform single-image 3D mesh reconstruction with silhouette image supervision and our system outperforms the existing voxel-based approach.
Ranked #6 on
3D Object Reconstruction
on Data3D−R2N2
(Avg F1 metric)
Melody Generation for Pop Music via Word Representation of Musical Properties
Automatic melody generation for pop music has been a long-time aspiration for both AI researchers and musicians.
Sound Multimedia Audio and Speech Processing
Visual Language Modeling on CNN Image Representations
Additionally, a method to measure naturalness can be complementary to Convolutional Neural Network (CNN) based features, which are known to be insensitive to the naturalness of images.
Image Reconstruction from Bag-of-Visual-Words
The objective of this work is to reconstruct an original image from Bag-of-Visual-Words (BoVW).
