DiffEdit: Diffusion-based semantic image editing with mask guidance
โ AK (@_akhaliq) October 21, 2022
abs: https://t.co/9pzsPwiU1K pic.twitter.com/elAYmnMh2w
DiffEdit: Diffusion-based semantic image editing with mask guidance
โ AK (@_akhaliq) October 21, 2022
abs: https://t.co/9pzsPwiU1K pic.twitter.com/elAYmnMh2w
๐จ Training an Object Detection Model is a very challenging task and involves tweaking so many knobs
โ @farid@sigmoid.social (Mastodon) (@ai_fast_track) October 20, 2022
Here is an exhaustive ๐ tips & tricks list ๐ that you could use to boost your model performance
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Token Merging: Your ViT But Faster
โ AK (@_akhaliq) October 19, 2022
abs: https://t.co/14DPSqst90
github: https://t.co/oJMk2nSuvw pic.twitter.com/4hJKEZovEp
Differentially Private Diffusion Models
โ AK (@_akhaliq) October 19, 2022
abs: https://t.co/IW2WU2ega5
project page: https://t.co/3gxE40jRu6 pic.twitter.com/HAVldjJDqG
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
โ AK (@_akhaliq) October 19, 2022
abs: https://t.co/AU8m80CjQD pic.twitter.com/A7UD1fLM9B
Awesome Computer Vision
โ Jean de Nyandwi (@Jeande_d) October 18, 2022
A curated list of computer vision resources: books, courses, papers, software, datasets, pre-trained models, tutorials, talks, blogs, and songs :-)https://t.co/twm6btvY24 pic.twitter.com/1MrFrHscoF
This is compelling. Didn't see anything in the paper about chaining, but if it can iteratively allow the user to describe small changes, then one could build some tools that overcome many of the challenges of one-shot generation. https://t.co/eii2CqKq0z
โ Mark Parody Riedl (@riedl@sigmoid.social) (@mark_riedl) October 18, 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
โ AK (@_akhaliq) October 18, 2022
abs: https://t.co/xRW6F6w2ZG pic.twitter.com/wGifY74i4w
The @Gradio Demo for Stable-Dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion is out
โ AK (@_akhaliq) October 17, 2022
colab: https://t.co/2Xhl7nXdwr
github: https://t.co/uFDznjXMRn pic.twitter.com/AXKsm4khna
This #StableDiffusion add-on for Blender looks amazing. @AI_Render renders an AI-generated image based on a text prompt and your scene in Blender.https://t.co/v3IvXBkcpi pic.twitter.com/YTVqCFvekf
โ hardmaru (@hardmaru) October 16, 2022
Prompt-to-Prompt: Latent Diffusion and Stable Diffusion implementation with @huggingface diffusers is out
โ AK (@_akhaliq) October 16, 2022
github: https://t.co/B4YcBt7vgo pic.twitter.com/QoIsax3xB1
LAION-5B has 5 billion natural captions, which provide a lot of information, but could synthetic captions complement them?@LAION_AI released LAION-COCO, a dataset of 600M high-quality generated captions for publicly available images, in MS COCOโs format.https://t.co/YxqFBol8Ug
โ hardmaru (@hardmaru) October 15, 2022