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Found 7 papers, 4 papers with code
CNC-Net: Self-Supervised Learning for CNC Machining Operations
CNC manufacturing is a process that employs computer numerical control (CNC) machines to govern the movements of various industrial tools and machinery, encompassing equipment ranging from grinders and lathes to mills and CNC routers.
ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution
Single image super-resolution (SISR) is a challenging ill-posed problem that aims to up-sample a given low-resolution (LR) image to a high-resolution (HR) counterpart.
ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion
Point cloud completion addresses filling in the missing parts of a partial point cloud obtained from depth sensors and generating a complete point cloud.
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
The CVF module can output multiple decomposed variables of the input and take a combination of the outputs back as an input in a cyclic manner.
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
3D shape representation and its processing have substantial effects on 3D shape recognition.
Ranked #1 on
3D Object Classification
on ModelNet10
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
Our experiments demonstrate the superiorities of our method in terms of representation power compared to the state-of-the-art methods in single RGB image 3D shape reconstruction.
SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection
We propose an efficient Stereographic Projection Neural Network (SPNet) for learning representations of 3D objects.
