IEEE

Learning Error Refinement in Stochastic Gradient Descent-Based Latent Factor Analysis via Diversified PID Controllers

Abstract: In Big Data-based applications, high-dimensional and incomplete (HDI) data are frequently used to represent the complicated interactions among numerous nodes. A stochastic gradient descent ...
GitHub

Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks

Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...
Hosted on MSN

Blender quick tutorial - gradient texture - 196

Here's a quick tutorial to Blender. Show how to use Gradien Texture to model the earth with slices. The instructions are simple, easy to understand, and can be applied in many cases. Hope it is useful ...
IEEE

Stochastic Coordinate Descent via Regret Minimization

Abstract: In this paper, we investigate the performance of stochastic coordinate descent algorithms for convex optimization problems from the novel perspective of regret minimization. Specifically, we ...
GitHub

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...