Lovart AI

company

https://lovart.ai

lovart_ai

AI & ML interests

The best design agent in the world.

wanghaofan

authored a paper 3 months ago

Calligrapher: Freestyle Text Image Customization

Paper • 2506.24123 • Published Jun 30 • 37

wanghaofan

authored 2 papers 4 months ago

GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains

Paper • 2505.18700 • Published May 24 • 4

EasyText: Controllable Diffusion Transformer for Multilingual Text Rendering

Paper • 2505.24417 • Published May 30 • 12

wanghaofan

authored a paper 5 months ago

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Paper • 2504.12395 • Published Apr 16 • 16

wanghaofan

authored 4 papers 7 months ago

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Paper • 1910.01279 • Published Oct 3, 2019

One-shot Implicit Animatable Avatars with Model-based Priors

Paper • 2212.02469 • Published Dec 5, 2022

Image Watermarks are Removable Using Controllable Regeneration from Clean Noise

Paper • 2410.05470 • Published Oct 7, 2024

EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Paper • 2503.07027 • Published Mar 10 • 29

wanghaofan

authored a paper 10 months ago

Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement

Paper • 2411.06558 • Published Nov 10, 2024 • 36

wanghaofan

authored 2 papers 11 months ago

Training-free Regional Prompting for Diffusion Transformers

Paper • 2411.02395 • Published Nov 4, 2024 • 25

InstantIR: Blind Image Restoration with Instant Generative Reference

Paper • 2410.06551 • Published Oct 9, 2024 • 6

wanghaofan

authored 2 papers over 1 year ago

InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3, 2024 • 22

InstantID: Zero-shot Identity-Preserving Generation in Seconds

Paper • 2401.07519 • Published Jan 15, 2024 • 57

wanghaofan

posted an update over 1 year ago

Post

4338

Greeting!

We are happy to introduce our InstantStyle, which is a framework that employs straightforward yet potent techniques for achieving effective disentanglement of style and content from reference images.

Code: https://github.com/InstantStyle/InstantStyle
Paper: InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation (2404.02733)
Project Page: https://instantstyle.github.io/