Dongliang Chang

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Dongliang Chang

Dongliang Chang

@DL_Chang

Associate Researcher@BUPT | Opinions are personal

Присоединился Aralık 2017
200 Подписки47 Подписчики
Ayan Das
Ayan Das@dasayan05·
can we ?
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CVSSP Research
CVSSP Research@cvssp_research·
Huge congratulations to PAI and CVSSP colleagues whose papers have been accepted for the Conference on Computer Vision and Pattern Recognition #CVPR2024 🤩 See their papers here 👉tinyurl.com/3mywnfk2
Surrey Institute for People-Centred AI@PeopleCentredAI

Celebrating fantastic success of colleagues for their many exciting papers accepted for #CVPR2024 💐 🌟tinyurl.com/3mywnfk2 @Adrian_Hilton @UniOfSurrey

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Dongliang Chang
Dongliang Chang@DL_Chang·
⛄️⛄️❄️❄️
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Kam Woh Ng
Kam Woh Ng@kam_woh·
@krishnanrohit @ysu_nlp To create new animals that do not exist, we proposed a solution called DreamCreature, which learns to "draw" the parts of the animal (in our paper, we show bird & dog only) with SD and recombine them to create new animals. twitter.com/kam_woh/status…
Kam Woh Ng@kam_woh

🐦🐦We are proud to announce our latest work #DreamCreature, which creates novel creatures by learning sub-concepts. project: kamwoh.github.io/dreamcreature video: youtu.be/918yi7Er4Iw #generativeAI #stablediffusion #textualinversion #dreamcreature

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𝐑𝐢𝐤𝐤𝐚𝐫.tez.eth | #omencollective | #MAIF
Pretty interesting "upscaling" results with DemoFusion. Started with 1024x1024, and ended up at 3072x3072. I'll drop samples in the thread to show how each image turned out + the repo at the end to check out. Here is the starting image 🧵
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Subject News
Subject News@subject_news·
DemoFusion is a new tool made by the University of Surrey that promises to bring low-cost, high-resolution artificial intelligence (AI) image generation to a wider audience without the need for powerf… subject.news/article/149401 #ai #image #demofusion #high-resolution #powerful
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AI 托我给您带个话
AI 托我给您带个话@AIWhispers4U·
🔗 x.com/i/status/17330… DemoFusion:无需 $$$ 即可实现高分辨率图像生成的民主化 🖼 Img2Img Colab 🥳感谢 @RuoyiDu@DL_Chang@tmh31@yizhe_song ❤ Zhanyu Ma ❤ 🌐页面:ruoyidu.github.io/demofusion/dem… 📄论文:arxiv.org/abs/2311.16973 🧬代码:github.com/PRIS-CV/DemoFu… 🦒colab 由 modelslab.com 提供:请尝试 🐣 github.com/camenduru/Demo…
camenduru@camenduru

DemoFusion: Democratising High-Resolution Image Generation With No $$$ 🖼 Img2Img Colab 🥳 Thanks to @RuoyiDu@DL_Chang@tmh31@yizhe_song ❤ Zhanyu Ma ❤ 🌐page: ruoyidu.github.io/demofusion/dem… 📄paper: arxiv.org/abs/2311.16973 🧬code: github.com/PRIS-CV/DemoFu… 🦒colab by modelslab.com: please try it 🐣 github.com/camenduru/Demo…

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LysonOber
LysonOber@lyson_ober·
正巧昨晚 @0xstory_xhu 也和我聊到这个,实测后我发现有些摄影场景一点也不比 @Magnific_AI 差,真是尴尬。我主观上感觉 Magnific 在动漫场景的细节上更细腻,明天我发发测试图。大家可以看看小互的详细介绍先。相比较于 Magnific 昂贵的价格,DemoFusion 还是免费的…
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Wanheda
Wanheda@Wanheda·
DemoFusion: Democratizing the Generation of High-Resolution Images 🌟 We have seen image enhancement tools (upscaling) with high prices, but now DemoFusion arrives, changing the game. This innovative tool is democratizing the generation of high-resolution images, making it accessible to everyone, and best of all, it's free! Today, we will explore how DemoFusion is opening up a new world of possibilities in digital art and creativity. Thanks for research @ruoyidu's and also thanks to @radamar for sharing 🫶🏻 Have you already experimented with DemoFusion? x.com/radamar/status
Radamés Ajna@radamar

Here's the demo "Enhance This"! It's a surreal image magnifier that creates a high-res version by imagining new details, using the SDXL base model. Thanks to @RuoyiDu's DemoFusion research. It takes a ~minute to generate a 2024x2024 image. huggingface.co/spaces/radames…

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weir-欧sir
weir-欧sir@weiou919311215·
清华大学新发布的DemoFusion这个模型简直是太棒了!! --人性化:主打民主化高分辨率图像生成,完全免费! --超高分辨率放大:可将SDXL生成的1024×1024分辨率图像,提升至4倍、16倍,甚至更高! --低内存资源,开箱即用:DemoFusion设计得既高效又易于使用,不需要大量的内存资源或复杂的调整过程!
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hamyori
hamyori@hamyori·
demofusion xl
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歸藏(guizang.ai)
歸藏(guizang.ai)@op7418·
尝试了一下DemoFusion这个图片放大项目,这玩意的资源消耗真是恐怖,2048*2048的图片A100居然跑了两分半的时间。 前两张是动漫图片,后两张是写实照片,不过效果确实好。可能是实现问题部分细节有一些崩坏的纹理。 动漫的图片会被识别成写实的照片,可能是提示词问题。 原图放在下面的推里面了可以对比一下生成前后的效果。 想体验的可以用这个Colab链接尝试,不过不是Pro的就算了,T4得跑好久:colab.research.google.com/github/camendu…
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