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🛞 6Img-to-3D driving scenarios 🛞
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EfficientViT - SAM:69x Faster SAM: Multi-Scale Linear Attention for High-Resolution Dense Prediction
1. Channel: @deeplearning_ai
2.Source Code: https://github.com/mit-han-lab/efficientvit
3. Paper: https://arxiv.org/abs/2402.05008
Awesome-AIGC-3D
A curated list of awesome AIGC 3D papers, inspired by awesome-NeRF.
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Depth Anything
Unleashing the Power of Large-Scale Unlabeled Data
[Paper] [Code] [Demo]
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🔍 Introducing UniRef++: Advanced Object Segmentation in Spatial and Temporal Domains
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🌐 UniRef++ is the official extended implementation from ICCV 2023's UniRef.
Stay tuned for more updates!
👉 Code: https://github.com/FoundationVision/UniRef
🤨 Paper: [Paper link]
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Neural Bodies with Clothes: Overview
Introduction: Neural-ABC, a cutting-edge parametric model developed by the University of Science & Technology of China, innovatively represents clothed human bodies.
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📖Read the Paper: Access Here
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Introducing ECoDepth: The New Benchmark in Diffusive Mono-Depth
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🆔🆔 Magic-Me: Identity-Specific Video 🆔🆔
👉hashtag#ByteDance (+UC Berkeley) unveils VCD for video-gen: with just a few images of a specific identity it can generate temporal consistent videos aligned with the given prompt. Impressive results, source code under Apache 2.0 💙
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👉Channel: @deeplearning_ai
👉Paper https://arxiv.org/pdf/2402.09368.pdf
👉Project https://magic-me-webpage.github.io/
👉Code https://github.com/Zhen-Dong/Magic-Me
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MLOps Masterclass
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PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
[Paper] [Project Page] [Model Card]
[🤗 Demo (Realistic)] [🤗 Demo (Stylization)]
🌠 Key Features:
1. Rapid customization within seconds, with no additional LoRA training.
2. Ensures impressive ID fidelity, offering diversity, promising text controllability, and high-quality generation.
3. Can serve as an Adapter to collaborate with other Base Models alongside LoRA modules in community.
Open-Vocabulary SAM
[Paper] [Project Page] [Hugging Face Demo]
Source Code: https://github.com/harboryuan/ovsam?tab=readme-ov-file
join our community:
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StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation
paper: https://arxiv.org/pdf/2312.12491v1.pdf
source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file
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