Showing results for FInal Background
GitHub Repo
https://github.com/vaibhavm99/Invisibility_T-shirt
vaibhavm99/Invisibility_T-shirt
This is a project I made using OpenCV, where I made invisibility T-shirt. This is how I did it. STEP 1 : Capture the frame STEP 2 : Convert the frames in HSV format STEP 3 : Generate the mask for color of T-shirt STEP 4 : Using bitwise add, create foreground and background STEP 5 : Add them both and create the final frame and display it
GitHub Repo
https://github.com/rik-python/AI-Background-Replacement-in-ComfyUI
rik-python/AI-Background-Replacement-in-ComfyUI
AI background replacement workflow for video using ComfyUI. Supports full or selective BG replacement with camera-aware consistency via Uni3C. Designed for previs, fast-turn shots, and client-approved AI workflows. Not for pixel-perfect edges or traditional VFX finals.
GitHub Repo
https://github.com/TEUNGKU-ZULKIFLI/teungku-zulkifli
TEUNGKU-ZULKIFLI/teungku-zulkifli
View only the final result; the process runs in the background.
GitHub Repo
https://github.com/Bentlybro/Automated-Youtube-Music-Generation
Bentlybro/Automated-Youtube-Music-Generation
An automated system that generates, combines, and uploads lofi jazz music videos to youtube using AI. The system uses Claude AI for prompts, Suno AI for music generation, DALL-E for background images, and automatically uploads the final compilation to YouTube.
GitHub Repo
https://github.com/XZYCR7/region-based-style-transfer-webapp
XZYCR7/region-based-style-transfer-webapp
COMS4731-Final-project-background-style-transfer-webapp
GitHub Repo
https://github.com/lwthatcher/Graph-Cut
lwthatcher/Graph-Cut
Graph-cut Image Segmentation ---------------------------- Implements Boykov/Kolmogorov’s Max-Flow/Min-Cut algorithm for computer vision problems. Two gray-scale images have been used to test the system for image segmentation (foreground/background segmentation) problem. Steps: 1. defined the graph structure and unary and pairwise terms. For graph structure, i have used available packages/libraries such as PyMaxflow. 2. likelihood function for background and foreground has been generated. 3. General energy function consisting of unary and pairwise energy functionals have been written. 4. Likelihood maps (intensity map ranging from 0 to 1) for foreground and background have been displayed. 5. Use Boykov/Kolmogorov maxflow / mincut approach for solving the energy minimization problem. 6. Final segmentation have been displayed. Created an image for which the background pixels are red, and the foreground pixels have the color of the input image. Relevant paper can be found here: http://www.csd.uwo.ca/~yuri/Papers/pami04.pdf
GitHub Repo
https://github.com/prakashdk/video-creator
prakashdk/video-creator
Fully offline pipeline to auto-generate videos with AI — includes script generation, TTS voiceover, image generation, subtitles, and final video assembly with background music. Perfect for Shorts & storytelling, no internet needed.
GitHub Repo
https://github.com/DarkCovenant26/BackgroundLocationTrial
DarkCovenant26/BackgroundLocationTrial
Final
GitHub Repo
https://github.com/LaZar00/Aeris
LaZar00/Aeris
Aeris Tool for work with FF7 Backgrounds.
GitHub Repo
https://github.com/ped7g/SpecBong