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Found 9 papers, 2 papers with code
Deep Learning-based Image and Video Inpainting: A Survey
The goal of this paper is to comprehensively review the deep learning-based methods for image and video inpainting.
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
Recent approaches such as ControlNet offer users fine-grained spatial control over text-to-image (T2I) diffusion models.
Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention
Convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved remarkable success in various vision tasks.
SimHaze: game engine simulated data for real-world dehazing
Using a modern game engine, our approach renders crisp clean images and their precise depth maps, based on which high-quality hazy images can be synthesized for training dehazing models.
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
In this paper, we revisit and improve the convergence of policy gradient (PG), natural PG (NPG) methods, and their variance-reduced variants, under general smooth policy parametrizations.
Hybrid Learning with New Value Function for the Maximum Common Subgraph Problem
Branch-and-Bound (BnB) is the basis of a class of efficient algorithms for MCS, consisting in successively selecting vertices to match and pruning when it is discovered that a solution better than the best solution found so far does not exist.
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
We develop a CNN pruning framework called SMOF, which Squeezes More Out of Filters by reducing both kernel size and the number of filter channels.
An Improved Analysis of Stochastic Gradient Descent with Momentum
Furthermore, the role of dynamic parameters has not been addressed.
Optimization and Control
Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures
They reduce a difficult problem to simple subproblems, so they are easy to implement and have many applications.
Optimization and Control
