Search Results for "c# source code"
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Showing 8 open source projects for "c# source code"
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OptiScaler
OptiScaler bridges upscaling/frame gen across GPUs
OptiScaler is an open-source modding tool designed to enhance graphics performance and flexibility in modern PC games by allowing users to replace or modify built-in upscaling technologies. Instead of relying on the upscaling method originally integrated by a game developer, the software intercepts the game’s rendering pipeline and redirects it to alternative technologies chosen by the user. This makes it possible to swap technologies such as NVIDIA DLSS, AMD FSR, or Intel XeSS even if the... -
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cnc-ddraw
GDI, OpenGL and Direct3D 9 re-implementation of the DirectDraw API
GDI, OpenGL and Direct3D 9 re-implementation of the DirectDraw API for classic games for better compatibility with Windows 2000, XP, Vista, 7, 8, 10, 11, Wine (Linux/macOS) and Virtual Machines. cnc-ddraw can fix compatibility issues in older games, such as black screen, bad performance, crashes or defective Alt+Tab. Supports Windows 2000, XP, Vista, 7, 8, 10, 11, Wine (Linux/macOS) and Virtual Machines. GDI / OpenGL / Direct3D 9 renderer (With automatic renderer selection) Upscaling via... -
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SeedVR2 Upscaler ComfyUI
Official SeedVR2 Video Upscaler for ComfyUI
ComfyUI-SeedVR2 Video Upscaler is an open-source integration node for the ComfyUI workflow environment that brings the advanced SeedVR2 video upscaling and restoration model directly into visual AI pipelines. This project packages the SeedVR2 architecture as a custom node for ComfyUI, letting users upscale low-resolution video or imagery inside a node-based interface without needing to write code manually. -
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Anime4KCPP
A high performance anime upscaler
Anime4KCPP provides an optimized bloc97's Anime4K algorithm version 0.9, and it also provides its own CNN algorithm ACNet, it provides a variety of way to use, including preprocessing and real-time playback, it aims to be a high-performance tool to process both image and video. This project is for learning and the exploration task of the algorithm course in SWJTU. Anime4K is a simple high-quality anime upscale algorithm. Version 0.9 does not use any machine learning approaches and can be... -
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DLSS2FSR
CyberFSR/PotatoFSR (FSR 2.1.2) for Games
Replacing DLSS 2.x with FSR 2.1.2 for various games such as Cyberpunk 2077, Red Dead Redemption 2, etc. It includes a DLL wrapper/injector (winmm.dll) to disable Nvidia GeForce RTX GPU checking, so AMD Radeon / Nvidia GTX users can enjoy the mod. Download the latest relase from Release Page. Extract the contents of the archive next to the game EXE file in your games folder. Make sure the game is running in DX12 mode. Download the latest relase from Release Page. Extract the contents of the... -
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textureAtlasTools
A set of tools for slicing a texture atlas to individual components
A set of tools for slicing a texture atlas to individual components and merging back. These tools simplify the approach for upscaling a texture atlas. Manually select some tiles in the texture atlas (that are placed in difficult positions) Add them to a json file following this pattern: json file; you can use any image editing tool such as GIMP to manually select and inspect the location, width and height of each selection. Run the tool with the split; this will automatically create a folder... -
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Super-résolution via CNN
Super resolution using a CNN, based on the work of the DGtal team
Super-resolution using a CNN, based on the work of the DGtal team. First of all, an Nvidia graphics card (neither AMD nor Intel integrated) is highly recommended to parallelize the CNN. You will then need to install CUDA. No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test... -
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Anime4kSharp
Anime4K implemented in C#
Anime4KSharp is a .Net Core library that implements bloc97's Anime4K Algorithm version 0.9 and 1.0 RC2. The Algorithm is executed on the CPU, but utilizing all available CPU Cores. This yields to a conversion time of "only" 4432 ms when upscaling from 1080p to 2160p. This time could possibly be reduced with further optimization. Images are processed in four phases that are executed on a pixel- per- pixel basis. Each phase takes a input image and renders it to a output image. This makes it...
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