"Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. (arXiv:2302.07740v1 [cs.CL])" — Verifying facts across different modes (text and images) and types (claim and document).

Paper: http://arxiv.org/abs/2302.07740
Code: https://github.com/wwweiwei/Pre-CoFactv2-AAAI-2023

#AI #CV #NewPaper #DeepLearning #MachineLearning

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An example of each category in …

"Video Probabilistic Diffusion Models in Projected Latent Space. (arXiv:2302.07685v1 [cs.CV])" — Generating high-resolution and coherent video using diffusion models.

Paper: http://arxiv.org/abs/2302.07685

#AI #CV #NewPaper #DeepLearning #MachineLearning

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256×256 resolution, 128 frame v…

A total of 54 papers in the cs.CV category on arXiv.org today — 33 new, 21 updated.

Are we slowing down for the weekend? 😛

#AI #CV #NewPapers #DeepLearning #MachineLearning

I do most of my #StableDiffusion image generation using various scripts or GUIs that I created. Each of them store the image generation parameters in the image as meta data.

My latest generation GUI is also an image gallery. It lets me view the images I’ve generated and being able to see the parameters is handy since I can compare various images later and see what model, prompt, and settings were used.

I also do image generation on #Windows (as opposed to #Mac) using #InvokeAI. Now InovkeAI does store the generation settings in the image too but obviously, the keys used to store the data are different to mine.

So my image gallery does not show the settings used when I browse images generated in InokeAI 😛

I got a bunch of coding done and the new GUI working correctly as I liked yesterday. Now I have to figure out how to extract the metadata for InvokeAI-generated images and to display that in my viewer too … It never stops 😀

#Coding #ImageViewer #MachineLearning

Hey, folks. Big layoffs at DigitalOcean today, and my team and I were hit. In fact, so was my adjacent team, and a good chunk of my department. I don't have much reach here on Mastodon yet, but if anybody wants to discuss opportunities for a technical editor / writer / manager of same, I'm up for it.

@AngelaPreston I used to test myself all the time to see if I was good enough. I took it as a challenge. That’s how I think I got into quizzing. And puzzles. And the kind of game where you have to think about things instead of mashing buttons.

As far as work goes, I know that there are people better than me at what I do. So I do wonder if things can be done better, but most of the time, I think I do the best I can and don’t worry about it too much beyond that since there’s always something new over the next hill and I’ve forgotten about whatever I did today by tomorrow 😛

Anybody doing any #Generative #MachineLearning stuff and posting about it as you work on it? Not papers? But just the daily trials and tribulations (and successes) of working on stuff. Have too many #DeepLearning and #MachineLearning accounts talking about their courses and videos and stuff and not enough of the daily stuff …

I miss that … Seeing what other people are working on, the small triumphs, and learning about new ways to do/try things …

If you are out there, hit me up and I’d like to follow you 🙂

@ajyoung Sorry, was asleep and woke up only now 🙂

I don’t generally generate using Python (I use my own GUI) but the issue is probably here “-o <creations/>” … If you change that to “-o creations” (assuming that you have a sub-folder named “creations” where you’re running the command from) it should work…

Let me know if it doesn’t and we can try to figure it out from there …

I'm excited to be presenting a tutorial for new programmers at @pycon this year. 😊

Have a colleague attending #PyCon2022 who doesn't (yet) write code? 🧑‍💻

Ask them to keep an eye out for "Intro to Python for Brand New Programmers" when tutorial registration opens up! 💖

@ajyoung No bother, happy to help 🙂

Can you send me the command you ran? It looks as if the script was looking for input from the standard input (maybe) and got a folder maybe? Haveing the command you ran might give a bit more context perhaps ….

Yesterday's Pratchett novel title prompt was: "Snuff"

I didn't really expect much from that one since there isn't a lot to work with there. But I still got some interesting images 🙂

These are from multiple models and so the styles are a little different across images. But still, I thought the end results were interesting ...

#AIArt #StableDiffusion #DeepLearning #MachineLearning #CV #AI #DiscWorld
Prompt: “Snuff”. Colourful pict…
Prompt: “Snuff”. A huge creatur…
Prompt: “Snuff”. A colourful im…
Prompt: “Snuff”. A colourful bu…

This photo was taken in Kenai, #Alaska yesterday next to the Senior Center and Senior Apartments overlooking Cook Inlet with the mountain range in the background. And of course, there is a kneeling moose eating some grub. This is the area of the state I live in. 💗
📸 by Carol Reinhardt King
#AlaskaMoose #Moosetodon

And with 11 papers boosted out of 82 in the cs.CV category on arXiv, we are done with papers for the day 🙂

#AI #CV #NewPapers #DeepLearning #MachineLearning

"DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model. (arXiv:2302.06908v1 [cs.CV])" — Today seems to be the day for papers on turning sketches into realistic colour images using diffusion models 😛 This is another approach ...

Paper: http://arxiv.org/abs/2302.06908

#AI #CV #NewPaper #DeepLearning #MachineLearning

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A Sketch-Guided Lantent Diffusi…

"Text-Guided Scene Sketch-to-Photo Synthesis. (arXiv:2302.06883v1 [cs.CV])" — Creating a whole scene color image based on a sketch using generative models such as Stable Diffusion.

Paper: http://arxiv.org/abs/2302.06883

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of training and sampli…

"Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generation. (arXiv:2302.06857v1 [cs.CV])" — Creating photorealistic images of people based on sketches using 3D generative models.

Paper: http://arxiv.org/abs/2302.06857

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The visualization of our Stereo…

"DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models. (arXiv:2302.06826v1 [cs.CV])" — Transfer the input image appearance onto images of items of clothing while not altering the structure of the clothing item.

Paper: http://arxiv.org/abs/2302.06826
Code: https://github.com/Rem105-210/DiffFashion

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Two examples of a reference-bas…

@ajyoung Sorry, no 😞 I haven’t looked at Divam’s stuff in a couple of months and I don’t recall much from the time I did look at it except in general terms … I thought it just calculated the timesteps given a 1000 step range and didn’t actually use a scheduler? But I might be wrong?

Update: What I meant above was no special scheduler algorithm ... just basic built-in scheduling by dividing up the 1000 step range by the number of steps ....

"Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?. (arXiv:2302.06514v2 [cs.CV] UPDATED)" — An attempt to generate appropriate behavioral responses to received stimulus and to evaluate the appropriateness of the generated responses.

Paper: http://arxiv.org/abs/2302.06514

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Multiple appropriate reaction g…

"NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis. (arXiv:2302.06078v2 [cs.CL] UPDATED)" — Classifying the emotions and intensity expressed in memes using machine learning.

Paper: http://arxiv.org/abs/2302.06078

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of the Meme Encoder