I'm a bit of an eclectic mess 🙂 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.
"MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation. (arXiv:2302.08113v1 [cs.CV])" — Controlling diffusion-based image generation so that you can specify image components, component placement etc. without any further fine-tuning.
"\`A-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. (arXiv:2302.07994v1 [cs.LG])" — Having multiple subsets of data trained on specific prompts and being able to compose the final model based on the prompts you select.
"PRedItOR: Text Guided Image Editing with Diffusion Prior. (arXiv:2302.07979v1 [cs.CV])" — Structure preserving, text guided image editing using diffusion models without needing a base prompt, fine-tuning of models etc.
Yesterday's Pratchett novel title prompt was: "Raising Steam".
Here's the thing about the prompt — I generated images on macOS initially and I was happy with the images I was getting since I was getting strange stuff. Nothing really to do with the prompt possibly, but all sorts of weird and wonderful landscapes 🙂
Then I switched to Windows for generation and suddenly all I'd get were trains or some sort of steam engine. Not a lot of variety ... No matter how many models I tried 😛
I've selected a mixed set from both sides for fair representation but I feel as if this needs more exploration ...
"Forward Pass: On the Security Implications of Email Forwarding Mechanism and Policy" — How email forwarding can create security vulnerabilities and and allow spoofing.
"AI Chat Assistants can Improve Conversations about Divisive Topics" — A study looking at how Large Language Models can improve conversations on divisive topics by making the participants feel understood.
"CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context" — A tool that uses a reader’s publishing, reading, and saving history to provide personalised context to citations in papers that they’re reading.
"Stitchable Neural Networks. (arXiv:2302.06586v2 [cs.LG] UPDATED)" — A way to combine different pretrained models to combine models of varying complexity and performance.
"Learning When to Say "I Don't Know". (arXiv:2209.04944v2 [cs.CV] UPDATED)" — A method to teach learning systems when they don't know something, or at least to identify areas of uncertainty. Perhaps this should be tried with ChatGPT and Bing to mitigate all the gaslighting? 😛
"SoK: Anti-Facial Recognition Technology. (arXiv:2112.04558v2 [cs.CR] UPDATED)" — An analysis of the currently available Anti-Facial Recognition (AFR) research and the pros and cons of the different approaches.
"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).
"Video Probabilistic Diffusion Models in Projected Latent Space. (arXiv:2302.07685v1 [cs.CV])" — Generating high-resolution and coherent video using diffusion models.
"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 ...
"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.
"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.
"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.
"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.
"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.
"Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation. (arXiv:2208.09141v2 [cs.CV] UPDATED)" — Using diffusion models to generate sign language pose sequences based on spoken language.