BREAKING NEWS
LATEST POSTS
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Momentum-GS – Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction
https://jixuan-fan.github.io/Momentum-GS_Page
https://github.com/Jixuan-Fan/Momentum-GS
A novel approach that leverages momentum-based self-distillation to promote consistency and accuracy across the blocks while decoupling the number of blocks from the physical GPU count.
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Tencent Hunyuan AI Video – A Systematic Framework For Large Video Generation Model
https://aivideo.hunyuan.tencent.com
https://github.com/Tencent/HunyuanVideo
Unlike other models like Sora, Pika2, Veo2, HunyuanVideo’s neural network weights are uncensored and openly distributed, which means they can be run locally under the right circumstances (for example on a consumer 24 GB VRAM GPU) and it can be fine-tuned or used with LoRAs to teach it new concepts.
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Ranko Prozo – Modelling design tips
Every Project I work on I always create a stylization Cheat sheet. Every project is unique but some principles carry over no matter what. This is a sheet I use a lot when I work on isometric stylized projects to help keep my assets consistent and interesting. None of these concepts are my own, just lots of tips I learned over the years. I have also added this to a page on my website, will continue to update with more tips and tricks, just need time to compile it all :)
FEATURED POSTS
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MiniMax-Remover – Taming Bad Noise Helps Video Object Removal Rotoscoping
https://github.com/zibojia/MiniMax-Remover
MiniMax-Remover is a fast and effective video object remover based on minimax optimization. It operates in two stages: the first stage trains a remover using a simplified DiT architecture, while the second stage distills a robust remover with CFG removal and fewer inference steps.
