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I'm a bit of an eclectic mess πŸ™‚ 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: πŸ‡±πŸ‡°πŸ‡ΈπŸ‡¦πŸ‡ΊπŸ‡ΈπŸ‡³πŸ‡ΏπŸ‡ΈπŸ‡¬πŸ‡²πŸ‡ΎπŸ‡¦πŸ‡ͺπŸ‡«πŸ‡·πŸ‡ͺπŸ‡ΈπŸ‡΅πŸ‡ΉπŸ‡ΆπŸ‡¦πŸ‡¨πŸ‡¦

β€œShed no tear
O, shed no tear!
The flower will bloom another year.
Weep no more
O, weep no more!
Young buds sleep in the root’s white core.” - from Fairy’s Song (Shed No Tear!) by John Keats.
Photo of Roseberry Topping Hill in the North Yorkshire Moors by John Patr.

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James Forten was born a free man in 1766 in Philadelphia. During the Revolutionary War he was a powder boy on a sailing ship, only to be captured and then released by the British. He resumed employment as a sailmaker, going on to own the business and employ 38 people. He invented a new type of sail and made a fortune. He funded causes, purchased freedom for enslaved people, opened his home as an Underground Railroad depot & started a school for children.

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i want what they have

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Warm enough to walk outside! And nice skies in

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Noah Doersing 🐦🎨🌿

Having recently acquired a macro lens, I believe I'm contractually obliged to try and shoot some imagery. Here's my first candidate.

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π•Ώπ–—π–Žπ–‹π–‘π–Žπ–“π–Œπ•Ώπ–—π–Šπ–Šβ“

Industrious children planting vegetables in a post-apocalyptic city
Midjourney 4 AI Art

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π•Ώπ–—π–Žπ–‹π–‘π–Žπ–“π–Œπ•Ώπ–—π–Šπ–Šβ“

The last butterfly
Midjourney 4 AI Art

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Fahim Farook

And that’s all for another day of paper reading β€” 7 papers boosted (out of a total of 91 today) in the cs.CV category on arXiv.org.

It feels as if I spent way more time on the 7 papers than I do on like 15 papers on other days, but that’s how it goes …

#AI #CV #NewPapers #DeepLearning #MachineLearning
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Fahim Farook

"ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. (arXiv:2106.05970v2 [cs.CL] UPDATED)" β€” An imagination-based automatic evaluation metric for natural language generation, which with the help of StableDiffusion, automatically generates an image as the embodied imagination for a text snippet and computes the imagination similarity using contextual embeddings.

Paper: http://arxiv.org/abs/2106.05970

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too πŸ™‚>>
An evaluation example on GigaWo…
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This picture was accidentally taken with my iPhone 13 Pro. Being out in the country I wanted to take advantage of the lesser light pollution and get a clear image of the starsβ€”only to get photobombed by the Milky Way.

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Fahim Farook

"ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. (arXiv:2302.02373v1 [cs.CV])" β€” A novel and flexible conditional diffusion model by introducing conditions into the forward process. The process utilizes extra latent space to allocate an exclusive diffusion trajectory for each condition based on some shifting rules, which will disperse condition modeling to all timesteps and improve the learning capacity of model.

Paper: http://arxiv.org/abs/2302.02373

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too πŸ™‚>>
Exploration of the mechanism of…
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Fahim Farook

"ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. (arXiv:2302.02285v1 [cs.CV])" β€” A simple yet learning-free Retrieval-based Diffusion sampling framework capable of fast inference, which retrieves a trajectory similar to the partially generated trajectory from a precomputed knowledge base at an early stage of generation, skips a large portion of intermediate steps, and continues sampling from a later step in the retrieved trajectory.

Paper: http://arxiv.org/abs/2302.02285

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too πŸ™‚>>
Diffusion Inference (upper) and…
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Fahim Farook

"Design Booster: A Text-Guided Diffusion Model for Image Translation with Spatial Layout Preservation. (arXiv:2302.02284v1 [cs.CV])" β€” A new approach for flexible image translation by learning a layout-aware image condition together with a text condition, which co-encodes images and text into a new domain during the training phase.

Paper: http://arxiv.org/abs/2302.02284

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Style image translation and sem…
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Fahim Farook

"Divide and Compose with Score Based Generative Models. (arXiv:2302.02272v1 [cs.CV])" β€” Learning image components in an unsupervised manner in order to compose those components to generate and manipulate images in an informed manner.

Paper: http://arxiv.org/abs/2302.02272
Code: https://github.com/sandeshgh/Score-based-disentanglement

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Using all score components resu…
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Sometimes the light just has a vibe

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Fahim Farook

"Real-Time Image Demoireing on Mobile Devices. (arXiv:2302.02184v1 [cs.CV])" β€” A study on accelerating demoireing networks and a dynamic demoireing acceleration method (DDA) capable of real-time deployment on mobile devices.

Paper: http://arxiv.org/abs/2302.02184
Code: https://github.com/zyxxmu/DDA

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Images with moir ́e patterns. Th…
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Fahim Farook

"DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. (arXiv:2302.02005v1 [astro-ph.GA])" β€” A universal domain adaptation method to overcome the challenge of artificial intelligence methods extracting dataset-specific, non-robust features.

Paper: http://arxiv.org/abs/2302.02005

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Example images from the source …
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My walk along the sewage runoff β€œcreek” had surprisingly good birds today. This guy hangs out there frequently so is quite used to walkers and is unbothered by lookyloos!

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