"Towards Enhanced Controllability of Diffusion Models. (arXiv:2302.14368v1 [cs.CV])" — Creating a diffusion model that is easier to edit/style based on input images by conditioning the model on a spatial content mask and a flattened style embedding.

Paper: http://arxiv.org/abs/2302.14368

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Comparison of the proposed mode…

"One-Shot Video Inpainting. (arXiv:2302.14362v1 [cs.CV])" — A method to inpaint videos where instead of having to provide masks for each frame, you only need to provide the object mask for the initial frame in the video sequence.

Paper: http://arxiv.org/abs/2302.14362

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Qualitative comparison between …

"Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAM. (arXiv:2302.14354v1 [cs.CV])" — Using machine learning to identify damage and defects to cultural heritage buildings using Convolutional Neural Networks (CNN).

Paper: http://arxiv.org/abs/2302.14354

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Comparing a picture with small-…

A whopping 136 papers in the cs.CV category on arXiv.org today — 96 new, 40 updated.

If there’s more than the usual number of interesting papers there today, I’m in for a long wade through papers today 😛

#AI #CV #NewPapers #DeepLearning #MachineLearning

Green Ridge Windmill, Brighton, UK. Also known as Waterhall Mill, it was built in 1885. It was the last windmill built in Sussex, and was working until 1924. In World War II it was used by the Home Guard as a lookout post. The mill was converted into a house in 1963, and externally restored. The sweeps (Sussex dialect for sails) were replaced in 1974. This is my nearest large open space, and I love it.

#Photography #Nature #Follow #Boost #Beautiful #Sussex #Landscape #Brighton #Windmill

I suppose you might be fed up with shots of the #AuroraBorealis by now, so I’ll just sneak in this moon photo with the #MirrieDancers photobombing! 😊

#NorthernLights #Moon #Stars #Portmahomack #scotland #nofilter #winterskies #photooftheday #ScotlandPhotography

Winter sunset silhouette at the Lorain West Breakwater Light in Ohio on Lake Erie. Photo by Tony Psaltis.
#LighthousesOfMastodon
#GreatLakes

Tom Hanks movies can go either way — there are ones that I’ve absolutely loved, and then there are ones that I care nothing whatsoever for (and I’m looking at you, “Finch” …)

But “A Man Called Otto”, what can I say? It feels like his best movie ever, at least right now just after watching it, feels like one of his very best 🙂 I loved everything about the movie and how the story unfolded. It was a brilliant performance, and a great story!

#MiniReview #Movies

Mount Fitz Roy
Patagonia, Argentina
#nature #geology #wonders #mountain #summit #mastadon

Ocean Spray #art #mastoart #watercolor #seascape

And that’s it for papers today — 6 papers boosted from the cs.CV category (and one outside) out of a total of 98 on arXiv.org today ...

#AI #CV #NewPapers #DeepLearning #MachineLearning

"Accuracy and Fidelity Comparison of Luna and DALL-E 2 Diffusion-Based Image Generation Systems. (arXiv:2301.01914v2 [cs.CV] UPDATED)" — Comparing the accuracy and fidelity of images generated by DALL-E 2 and Luna, which is Stable Diffusion-based.

Paper: http://arxiv.org/abs/2301.01914
Luna code: https://github.com/slowy07/luna

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Selected image samples from the…

"An efficient deep neural network to find small objects in large 3D images. (arXiv:2210.08645v2 [cs.CV] UPDATED)" — What it says in the title 🙂

Paper: http://arxiv.org/abs/2210.08645
Code: https://github.com/nyukat/3d_gmic

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"Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Study" — Using Large Language Models (LLM) and gamification to teach programming in a more digestible format (especially) in introductory programming courses.

Paper: https://arxiv.org/abs/2302.12834

#AI #NewPaper #DeepLearning #MachineLearning #HumanComputerInteraction

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"Diffusion Posterior Sampling for General Noisy Inverse Problems. (arXiv:2209.14687v3 [stat.ML] UPDATED)" — Extending diffusion solvers to efficiently handle general noisy (non)linear inverse problems via approximation of the posterior sampling.

Paper: http://arxiv.org/abs/2209.14687
Code: https://github.com/dps2022/diffusion-posterior-sampling

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Solving noisy linear, and nonli…

"Subspace Diffusion Generative Models. (arXiv:2205.01490v2 [cs.LG] UPDATED)" — Restricting diffusion via projections onto subspaces to reduce computational time and cost without affecting the overall quality of the generated image.

Paper: http://arxiv.org/abs/2205.01490
Code: https://github.com/bjing2016/subspace-diffusion

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Random high resolution samples …

"Large Scale Visual Food Recognition. (arXiv:2103.16107v3 [cs.CV] UPDATED)" — A food dataset with 2,000 categories and over 1 million images that can be used for food recognition.

Paper: http://arxiv.org/abs/2103.16107
Code: https://github.com/Liuyuxinict/prenet/

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The distributions over each cat…

"Directed Diffusion: Direct Control of Object Placement through Attention Guidance. (arXiv:2302.13153v1 [cs.CV])" — Controlling object placement in diffusion models by way of attention guidance.

Paper: http://arxiv.org/abs/2302.13153

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Directed Diffusion (DD) key res…

A total of 98 papers in the cs.CV category on arXiv.org today — 35 new, 63 updated.

Gentlepeople, start your engines 🙂

#AI #CV #NewPapers #DeepLearning #MachineLearning

Call me contrary, but when I see people saying “I want to work at <Apple/Google/Microsoft>”, I ask, “Why?”

Somebody at work told me recently that Apple would want to hire me because I did/knew something only like 10 people in the world could do and 7 of them worked at Apple. So I was like, “If 7 of them are at Apple, why would Apple want to hire me?”

Plus, I don’t want to work at Apple 😛

I’ve been at Apple as a visitor and seen what the culture is like, and I really don’t want to work at that kind of place. Plus, I really like working from home and based on what I saw (and what I’ve read since the pandemic) Apple really does not seem to like people working from home. Based on what I saw, that tallies.

So why would I work for a company which has diametrically opposed viewpoints to mine? Just because it says “something” about me? Or because I think they might pay me a lot better and money fixes everything?

I do think that if I did that, it would say something about me, but not the same “something” that others are thinking of. Personally, I’d think that I put other people’s opinion of what I am over my own comfort. And I don’t want to do that …

#Work #Companies #Opinions