London
By Robert Holzach

#Art #painting #mastoart

#Ratibida columnifera, upright prairie coneflower.

#garden #gardening #flowers #horticulture #photography

A chest in an old abandoned attic full of strange things from the Future
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

Starship Scorpion 🦂
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle #aiart #nightcafe #midjourney

Interior Mars habitat designed by Leonardo Da Vinci
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle  #aiart #nightcafe #midjourney​

Mars habitat designed by Leonardo Da Vinci
These are not as impressive as I had hoped
Midjourney 4 AI Art
#stablediffusion #dalle2 #dalle  #aiart #nightcafe #midjourney​

Oh my goodness. These #goldendewdrops are as visually brilliant IRL as in these pics.

I couldn’t walk past these without taking photos and sharing.

The purples bleeding into white and the subtle yellows within the centre ovary section of each flower is quite amazing.

It was a bit of a wow moment discovering this.

#urbanflora #flora #gardening #garden #melbourne #aesthetichedonist #januaryjoy #gardeningAU #gardening #narrm #victoria #Australia #godmustbeabotanist #makesmehappy

#mushrooms #fungi #naturephotography

And that's 13 papers in the cs.CV category (and one outside) posted today out of a total of 89 papers in the cs.CV category on arXiv.

That's all for today 🙂

#AI #CV #NewPapers #DeepLearning #MachineLearning

"Video Influencers: Unboxing the Mystique. (arXiv:2012.12311v2 [cs.LG] UPDATED)" — A study and analysis of YouTube influencers and their unstructured video data across text, audio and images using a novel "interpretable deep learning" framework to determine the effectiveness of their constituent elements in explaining video engagement.

Paper: http://arxiv.org/abs/2012.12311

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Gradient heat map in video fram…

"Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. (arXiv:2301.13826v1 [cs.CV])" — A process which intervenes in the generative process of diffusion models on the fly during inference time to improve the faithfulness of the generated images to guide the model to refine the cross-attention units to attend to all subject tokens in the text prompt and strengthen - or excite - their activations, encouraging the model to generate all subjects described in the text prompt.

Paper: http://arxiv.org/abs/2301.13826
Code: https://github.com/AttendAndExcite/Attend-and-Excite

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Given a pre-trained text-to-ima…

"Grounding Language Models to Images for Multimodal Generation. (arXiv:2301.13823v1 [cs.CL])" — An efficient method to ground pretrained text-only language models to the visual domain, enabling them to process and generate arbitrarily interleaved image-and-text data. This approach apparently works with any off-the-shelf language model.

Paper: http://arxiv.org/abs/2301.13823

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Our method grounds a language m…

@AngelaPreston We are working our way through it but we are limiting ourselves to one episode a day 🙂 It is interesting and I’m curious to see where it’s headed …

"UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. (arXiv:2301.13741v1 [cs.CV])" — A universal vison-language Transformer compression framework which can handle multiple generative and discriminative vision-language tasks such as Visual Reasoning, Image Caption, Visual Question Answer, Image-Text Retrieval, Text-Image Retrieval, and Image Classification.

Paper: http://arxiv.org/abs/2301.13741

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Comparison between the Mask-bas…

"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models. (arXiv:2301.13721v1 [cs.CV])" — A new task to take advantage of the remarkable modeling ability of diffusion probabilistic models (DPM) using an unsupervised approach.

Paper: http://arxiv.org/abs/2301.13721

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Illustration of disentanglement…

"Learning Data Representations with Joint Diffusion Models. (arXiv:2301.13622v1 [cs.LG])" — A joint diffusion model that simultaneously learns meaningful internal representations fit for both generative and predictive tasks and which has superior performance across various tasks, including generative modeling, semi-supervised classification, and domain adaptation.

Paper: http://arxiv.org/abs/2301.13622

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Data representation zt in a UNe…

"NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. (arXiv:2301.13569v1 [cs.CV])" — Adapting neural processes (NPs) for semi-supervised image classification tasks to arrive at a solution with much less computational overhead, which can save time at both the training and the testing phases.

Paper: http://arxiv.org/abs/2301.13569
Code: https://github.com/jianf-wang/np-match

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Overview of NP-Match: it contai…

"Domain-Generalizable Multiple-Domain Clustering. (arXiv:2301.13530v1 [cs.LG])" — Given unlabeled samples from multiple source domains, an attempt to learn a shared classifier that assigns the examples to various clusters by using the classifier for predicting cluster assignments in a previously unseen domain.

Paper: http://arxiv.org/abs/2301.13530

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Problem statement - given unlab…

"Fourier Sensitivity and Regularization of Computer Vision Models. (arXiv:2301.13514v1 [cs.CV])" — A study of the frequency sensitivity characteristics of deep neural networks using a principled approach due to recent work showing that deep neural networks latch on to the Fourier statistics of training data and show increased sensitivity to Fourier-basis directions in the input.

Paper: http://arxiv.org/abs/2301.13514

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Computing Fourier-sensitivity. …

"Conversational Automated Program Repair" — A method to help developers automatically generate patches for bugs using Large Language Models (LLMs) using a conversational approach for patch generation and validation.

Paper: https://arxiv.org/abs/2301.13246

#AI #NewPaper #MachineLearning #SoftwareEngineering

<<Find this useful? Please boost so that others can benefit too 🙂>>
Overview of conversational APR …