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Focusing
🎯
Focusing
43 followers · 20 following

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@eclipse-t2i @FlowChef

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Maitreyapatel/README.md

Hi 👋, I'm Maitreya

A PhD student pondering about AI & Life

patelmaitreya

  • 🔭 I’m currently working on Distillation-free Fast Diffusion Models

  • 🌱 I’m currently learning some pretty cool stuff :)

  • 👨‍💻 About me: maitreyapatel.com

  • 💬 Ask me about Multimodal Generative Models & ML

Connect with me:

patelmaitreya maitreya-patel-a37a16139 maitreya_jp

maitreyapatel

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  1. FlowChef/FlowChef FlowChef/FlowChef Public

    [ICCV 2025] Official Implementation of Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

    Python 33 1

  2. eclipse-t2i/eclipse-inference eclipse-t2i/eclipse-inference Public

    [CVPR 2024] Official PyTorch implementation of "ECLIPSE: Revisiting the Text-to-Image Prior for Efficient Image Generation"

    Python 64 11

  3. eclipse-t2i/lambda-eclipse-inference eclipse-t2i/lambda-eclipse-inference Public

    Forked from eclipse-t2i/eclipse-inference

    [TMLR] Official PyTorch implementation of "λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space"

    Python 51 6

  4. tripletclip/TripletCLIP tripletclip/TripletCLIP Public

    [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"

    Python 41 2

  5. ConceptBed/evaluations ConceptBed/evaluations Public

    [AAAI 2024] ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models

    Python 25 1

  6. speech-conversion-between-different-modalities speech-conversion-between-different-modalities Public archive

    Generative Adversarial Networks for different impaired speech conversions

    Python 37 9