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I'm a bit of an eclectic mess 🙂 I've been a programmer, journalist, editor, TV producer, and a few other things.

I'm currently working on my second novel which is complete, but is in the edit stage. I wrote my first novel over 20 years ago but then didn't write much till now.

I post about #Coding, #Flutter, #Writing, #Movies and #TV. I'll also talk about #Technology, #Gadgets, #MachineLearning, #DeepLearning and a few other things as the fancy strikes ...

Lived in: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦
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Fahim Farook

"Region-Aware Diffusion for Zero-shot Text-driven Image Editing. (arXiv:2302.11797v1 [cs.CV])" — A region-aware text-guided image editing method which aims to replace one entity with another.

What I always wonder with these approaches is whether you can replace a larger entity with a smaller one, or vice versa, (say a horse with a cat) in a way that looks realistic?

Paper: http://arxiv.org/abs/2302.11797
Code: https://github.com/haha-lisa/RDM-Region-Aware-Diffusion-Model

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The results of the proposed reg…
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Fahim Farook

"Controlled and Conditional Text to Image Generation with Diffusion Prior. (arXiv:2302.11710v1 [cs.CV])" — Using a Diffusion Prior to constrain the generation to a specific domain without altering the larger Diffusion Decoder in a memory and compute efficient way.

Paper: http://arxiv.org/abs/2302.11710

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Diffusion Prior can be trained …
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Fahim Farook

"Composer: Creative and Controllable Image Synthesis with Composable Conditions. (arXiv:2302.09778v2 [cs.CV] UPDATED)" — A way to flexibly control the output image from diffusion models to modify the layout or style of the final image.

Paper: http://arxiv.org/abs/2302.09778

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Concept of compositional image …
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Fahim Farook

"Entity-Level Text-Guided Image Manipulation. (arXiv:2302.11383v1 [cs.CV])" — A more accurate/efficient text-guided image editing/manipulation?

Paper: http://arxiv.org/abs/2302.11383

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Comparison between our method a…
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Fahim Farook

"Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. (arXiv:2302.11154v1 [cs.CV])" — Creating a non-task/domain specific, general visual recognition model.

Paper: http://arxiv.org/abs/2302.11154

#AI #CV #NewPaper #DeepLearning #MachineLearning

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An illustration of the proposed…
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Fahim Farook

"Teachable Reality: Prototyping Tangible Augmented Reality with Everyday Objects by Leveraging Interactive Machine Teaching. (arXiv:2302.11046v1 [cs.HC])" — An Augmented Reality (AR) prototyping tool for creating interactive AR applications using everyday objects.

Paper: http://arxiv.org/abs/2302.11046

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Teachable Reality is an augment…
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Fahim Farook

"'The Taurus': Cattle Breeds & Diseases Identification Mobile Application using Machine Learning. (arXiv:2302.10920v1 [cs.LG])" — A cross-platform mobile application to identify cattle breeds, easily analyze and identify the diseases which cattle suffer from, and to provide solutions the identified diseases.

Paper: http://arxiv.org/abs/2302.10920

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Mobile app screens showing the …
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Fahim Farook

"Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness. (arXiv:2302.10893v1 [cs.LG])" — Reducing bias in generative text-to-image models based on instructions.

Paper: http://arxiv.org/abs/2302.10893
Code: https://github.com/ml-research/Fair-Diffusion

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Stable Diffusion (top row) runs…
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Fahim Farook

Yesterday's #StableDiffusion prompt was: "Secret forest with hidden nooks" or "Fantasy forest with hidden nooks" ... I did some for each 🙂

These were done using multiple different models and different resolutions and so there's quite a range to the images.

I liked the results so much that I'll probably be doing a few more of this over the next few days ... Or, variations thereof.
Prompt: “secret forest with hid…
Prompt: “fantasy forest with hi…
Prompt: “fantasy forest with hi…
Prompt: “secret forest with hid…
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Fahim Farook

"Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. (arXiv:2302.10781v1 [cs.CV])" — Transforming static images into videos with additional effects using a diffusion model to handle the inpainting.

Paper: http://arxiv.org/abs/2302.10781

#AI #CV #NewPaper #DeepLearning #MachineLearning

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llustration of the proposed out…
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Fahim Farook

"RealFusion: 360{\deg} Reconstruction of Any Object from a Single Image. (arXiv:2302.10663v1 [cs.CV])" — Creating a 360-degree photographic model of an object from a single image of it by fitting a neural radiance field to the image.

Paper: http://arxiv.org/abs/2302.10663

#AI #CV #NewPaper #DeepLearning #MachineLearning

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RealFusion generates a full 360…
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Fahim Farook

"Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. (arXiv:2302.10586v1 [cs.CV])" — A three-stage training strategy for conditional image generation and classification in semi-supervised learning.

Paper: http://arxiv.org/abs/2302.10586

#AI #CV #NewPaper #DeepLearning #MachineLearning

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An overview of DPT. First, a (s…
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Fahim Farook

"A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox. (arXiv:2302.10277v1 [cs.CV])" — Using Convolutional Neural Networks (CNN) to detect monkeypox since it's difficult to diagnose early due to its similarity to other diseases like chickenpox and measles.

Paper: http://arxiv.org/abs/2302.10277

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Chart showing confirmed monkeyp…
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Fahim Farook

I've been trying out leonardo.ai with a bunch of new prompts since yesterday.

The following are the best results for: "Burning the cradle at both ends" ... and no "cradle" wasn't a typo, that was the prompt I wanted 😛

#AIArt #StableDiffusion #DeepLearning #MachineLearning #CV #AI
Prompt: “Burning the cradle at …
Prompt: “Burning the cradle at …
Prompt: “Burning the cradle at …
Prompt: “Burning the cradle at …
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Fahim Farook

"Vulnerability analysis of captcha using Deep learning. (arXiv:2302.09389v1 [cs.CR])" — Using a Convolutional Neural Network (CNN) model to predict text-based CAPTCHAs to examine the flaws inherent in the system and to create more resilient CAPTCHAs.

Paper: http://arxiv.org/abs/2302.09389

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Examples of different alphanume…
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Fahim Farook

"Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension. (arXiv:2302.09301v1 [cs.CL])" — An investigation into the basic geometric properties induced by prompts in Stable Diffusion and how this impact depends on the layer being considered.

Paper: http://arxiv.org/abs/2302.09301

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The output of the model at the …
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Fahim Farook

"Web Photo Source Identification based on Neural Enhanced Camera Fingerprint. (arXiv:2302.09228v1 [cs.CV])" — Using a neural network to identify sensor patterns in an effort to identify the source camera for images published on the web.

Paper: http://arxiv.org/abs/2302.09228
Code: https://github.com/PhotoNecf/PhotoNecf

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Three main stages of source ide…
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Fahim Farook

"A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning. (arXiv:2302.09068v1 [cs.AI])" — An evaluation of ChatGPT and DALL-E2 to assess the spatial reasoning and decision making abilities of each model.

Paper: http://arxiv.org/abs/2302.09068

#AI #CV #NewPaper #DeepLearning #MachineLearning

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DALL-E output for the prompts: …
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Fahim Farook

""Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. (arXiv:2210.03735v2 [cs.HC] UPDATED)" — A study of how explainability can support human-AI interaction using a real-world AI applicaiton.

Paper: http://arxiv.org/abs/2210.03735

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Screenshots of Merlin, our stu…
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Fahim Farook

"Which country is this picture from? New data and methods for DNN-based country recognition. (arXiv:2209.02429v2 [cs.CV] UPDATED)" — A framework to identify the country where an image was taken, which could be useful in debunking fake news and many other applications.

Paper: http://arxiv.org/abs/2209.02429

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Three sample photos taken from …
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