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Found 5 papers, 1 papers with code
3D Shapes Local Geometry Codes Learning with SDF
We propose Local Geometry Code Learning (LGCL), a model that improves the original DeepSDF results by learning from a local shape geometry of the full 3D shape.
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Neural image compression leverages deep neural networks to outperform traditional image codecs in rate-distortion performance.
Sparse data interpolation using the geodesic distance affinity space
In this paper, we adapt the geodesic distance-based recursive filter to the sparse data interpolation problem.
One-view occlusion detection for stereo matching with a fully connected CRF model
We show that the OVOD approach considerably improves results for cost augmentation and energy minimization techniques in comparison with the standard one-view affinity space implementation.
Extended Dynamic Programming and Fast Multidimensional Search Algorithm for Energy Minization in Stereo and Motion
This paper presents a novel extended dynamic programming approach for energy minimization (EDP) to solve the correspondence problem for stereo and motion.
