Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
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Updated
Apr 24, 2024 - Python
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
Colab notebook for Stable Diffusion Hyper-SDXL.
[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".
Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
[ICCV 2023] BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
[CVPR 2021] Multi-Modal-CelebA-HQ: A Large-Scale Text-Driven Face Generation and Understanding Dataset
The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral)
Offical implementation of the paper "MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models".
This repository illustrates how to use the Hotpot.ai API. Our API provides Stable Diffusion, image generator, text-to-image generator, background removal, image upscaler, photo restoration, and picture colorization.
Official code of "StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis" (CVPR 2022)
Code for ACM MM'23 paper: LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
[CVPR 2024 Highlight] ImageNet-D
[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation (ECCV 2022)
🔥 [ECCV 2022] TIPS: Text-Induced Pose Synthesis (official code).
[ECCV'24] PyTorch Implementation of "Free-Editor: Zero-shot Text-driven 3D Scene Editing"
[Journal of Artificial Intelligence Research] Source code for our paper "Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis".
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