Forrest Rabbit as Gaia, Mother Earth
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

A forest in a terrarium
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

Cubist Robots
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

Kitchen Monsters love dirty dishes
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

This particular #StableDiffusion prompt based on Terry Pratchett novel titles was in the works for a few days — I just wasn't sure about the results since most of them were fairly similar ...

The prompt? "Wintersmith"

Predictably, most of the results were people in winter-wear. I just didn't like the monotony and hence the inclusion of the fox from what looks like the cover of a box of pencils 😛

#AIArt #DeepLearning #MachineLearning #CV #AI #DiscWorld
Stable Diffusion prompt: "Winte…
Stable Diffusion prompt: "Winte…
Stable Diffusion prompt: "Winte…
Stable Diffusion prompt: "Winte…

Gung Hay Fat Choy - Year of the Rabbit
I wish to credit the artist but unfortunately have not successfully identified this person. It’s a beautiful graphic.
#GungHayFatChoy #LunarNewYear #ChineseNewYear

At this point, “The Last of Us” is the TV show I anticipate the most. Maybe that’s not saying much, but still … 😛

Without spoiling anything, I love how they’ve portrayed zombies and want to learn more about the world with each episode.

We are huge fans of Naughty Dog games given that we played through all of the “Uncharted” games and “The Lost Legacy” too as fast as we could … and loved the story of “Uncharted 4” to bits.

But I didn’t know if we’d like “The Last of Us” since we kind of shy away from killing games and based on the premise, that’s what it sounded like … Now, after starting the TV show, I’m wondering if we should go back and play the game too … Also, there’s apparently a remake and so maybe it really is time to try it?

#TV #Gaming #PlayStation

And that’s a wrap on the start of a new week of paper reading after moving to a new server 🙂

I posted 8 papers out of a total of 51 new and updated papers in the cs.CV category on arXiv.org today.

I must say that the ability to post more than 500 characters on the new server is a huge help since now I don’t have to spend a lot of time cutting down my summary to fit within 500 characters 😛

#AI #CV #NewPapers #DeepLearning #MachineLearning

"Model Complexity-Accuracy Trade-off for a Convolutional Neural Network. (arXiv:1705.03338v1 [cs.CV] CROSS LISTED)" — A study of the model complexity versus accuracy trade-off on MNSIT dataset, providing a concrete framework for handling such a problem, given the worst case accuracy that a system can tolerate.

Paper: http://arxiv.org/abs/1705.03338

#AI #CV #NewPaper #DeepLearning #MachineLearning

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A graph plotting Accuracy vs Mo…

"MemeTector: Enforcing deep focus for meme detection. (arXiv:2205.13268v2 [cs.CV] UPDATED)" — A methodology that utilizes the visual part of image memes as instances of the regular image class and the initial image memes as instances of the image meme class to force the model to concentrate on the critical parts that characterize an image meme.

Paper: http://arxiv.org/abs/2205.13268
Code: https://github.com/mever-team/memetector

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Example image meme vs. a regula…

@newmanth Yep 🙂 Well, briefly … I couldn’t get it to run locally and there didn’t seem to be that much in the way of docs. Went to the Discord server hoping that the issues I was running into were standard ones and others would have hit them too but nothing on the Discord about those specific issues. So gave up at that point since I was already working with a few other apps 🙂

But will probably go back at some point to see if it would work better the next time around …

@elk

"Learning Sequential Latent Variable Models from Multimodal Time Series Data. (arXiv:2204.10419v2 [cs.LG] UPDATED)" — A self-supervised generative modelling framework to jointly learn a probabilistic latent state representation of multimodal data and the respective dynamics to improve prediction and representation quality.

Paper: http://arxiv.org/abs/2204.10419
Code: https://github.com/utiasstars/visual-haptic-dynamics

#AI #CV #NewPaper #DeepLearning #MachineLearning

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We learn a sequential latent va…

"REx: Data-Free Residual Quantization Error Expansion. (arXiv:2203.14645v2 [cs.CV] UPDATED)" — A quantization method that leverages residual error expansion, along with group sparsity and an ensemble approximation for better parallelization.

Paper: http://arxiv.org/abs/2203.14645

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Illustration of the proposed me…

"Novel-View Acoustic Synthesis. (arXiv:2301.08730v1 [cs.CV])" — Given the sight and sound observed at a source viewpoint, synthesizing the *sound* of that scene from an unseen target viewpoint using a neural rendering approach.

Paper: http://arxiv.org/abs/2301.08730

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Novel-view acoustic synthesis t…

"Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences. (arXiv:2301.08571v1 [cs.CL])" — A new image-grounded dataset for improving visual story generation due to the fact that existing image sequence collections do not have coherent plots behind them.

Paper: http://arxiv.org/abs/2301.08571

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Comparison of Visual Writing Pr…

"When Source-Free Domain Adaptation Meets Label Propagation. (arXiv:2301.08413v1 [cs.CV])" — An approach that tries to achieve efficient feature clustering from the perspective of label propagation by dividing the target data into inner and outlier samples based on the adaptive threshold of the learning state, and applying a customized learning strategy to best fits the data property.

Paper: http://arxiv.org/abs/2301.08413

#AI #CV #NewPaper #DeepLearning #MachineLearning

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A toy illustration of target fe…

@mikaelacaron Well, if you have an Apple Silicon device, then a lot of the iOS stuff will run on it … Not Ivory (at least the TestFlight version) and a few others but a lot will but some stuff is annoying — like closing the app will close it fully instead of just keeping it in the dock, which is what I expect from macOS apps 😛

"Open-Set Likelihood Maximization for Few-Shot Learning. (arXiv:2301.08390v1 [cs.CV])" — A generalization of the maximum likelihood principle, in which latent scores down-weighing the influence of potential outliers are introduced alongside the usual parametric model. This implementation can be applied on top of any pre-trained model seamlessly.

Paper: http://arxiv.org/abs/2301.08390

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Intuition behind OSLO. Standard…

@mikaelacaron I thinkI might have like 5 installed but hardly ever use ‘em since I’m no macOS most of the time and there’s sadly very few clients out there that work on #macOS, have the features I really want, *and* work with Akkoma 😛

Was using Ivory to get notifications on iOS (so that I hear when new posts come in) since I have volume turned down on the MacBook, but then I switched to Akkoma and Ivory won’t work with Akkoma 😞