Search Results for author: Reyhaneh Neshatavar

Found 6 papers, 4 papers with code

CNC-Net: Self-Supervised Learning for CNC Machining Operations

no code implementations15 Dec 2023 Mohsen Yavartanoo, Sangmin Hong, Reyhaneh Neshatavar, Kyoung Mu Lee

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.

CAD Reconstruction Self-Supervised Learning

ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution

no code implementations24 Jul 2023 Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son, Kyoung Mu Lee

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.

Image Super-Resolution

ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion

1 code implementation CVPR 2023 Sangmin Hong, Mohsen Yavartanoo, Reyhaneh Neshatavar, Kyoung Mu Lee

Point cloud completion addresses filling in the missing parts of a partial point cloud obtained from depth sensors and generating a complete point cloud.

Point Cloud Completion Self-Supervised Learning

3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces

1 code implementation ICCV 2021 Mohsen Yavartanoo, JaeYoung Chung, Reyhaneh Neshatavar, Kyoung Mu Lee

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.

3D Shape Reconstruction 3D Shape Representation

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