Collective dynamics of spiking networks of neurons has been of central interest to both computation neuroscience and network science. Over the past years a new generation of neural population models based on exact reductions (ER) of spiking networks...
The aim of the study is to determine the effect of the brand on purchasing decision on generation Y. For this purpose, a face-to-face survey was conducted with 231 people in the Y age range who have purchased mobile phones in the last year. The study...
ViMax is a multi-agent video framework that enables automated multi-shot video generation while ensuring character and scene consistency. Our system seamlessly translates your ideas into …
ViMax is a multi-agent video framework that enables automated multi-shot video generation while ensuring character and scene consistency. Our system seamlessly translates your ideas into …
ViMax is a multi-agent video framework that enables automated multi-shot video generation while ensuring character and scene consistency. Our system seamlessly translates your ideas into …
ViMax is a multi-agent video framework that enables automated multi-shot video generation while ensuring character and scene consistency. Our system seamlessly translates your ideas into …
Anxious Generation: How the Great Rewiring of Childhood Is Causing an Epidemic of Mental Illness is a 2024 book by Jonathan Haidt. It argues that the
The class-conditional image generation based on diffusion models is renowned for generating high-quality and diverse images. However, most prior efforts focus on generating images for general categories, e.g., 1000 classes in ImageNet-1k. A more chal...
We proudly offer specialized collections like Mahogany and our LGBTQ Pride series, ensuring everyone finds the perfect expression. Visit hallmark-store.com and discover why, generation after generation, …
Video generation necessitates both global coherence and local realism. This work presents a novel non-autoregressive method GLOBER, which first generates global features to obtain comprehensive global guidance and then synthesizes video frames based...
We present DeepGen, a system deployed at web scale for automatically creating sponsored search advertisements (ads) for BingAds customers. We leverage state-of-the-art natural language generation (NLG) models to generate fluent ads from advertiser's...
Discuss the 5th Generation Dodge Ram (2019–Present) here. From mod trends, maintenance issues, tuning, and generation news, and also connect with fellow Dodge Ram enthusiasts.
Recent great advances in video generation models have demonstrated their potential to produce high-quality videos, bringing challenges to effective evaluation. Unlike human evaluation, existing automated evaluation metrics lack highlevel semantic und...
This report introduces PixelBytes Embedding, a novel approach for unified multimodal representation learning. Our method captures diverse inputs in a single, cohesive representation, enabling emergent properties for multimodal sequence generation, pa...
The emergence of unified multimodal understanding and generation models is rapidly attracting attention because of their ability to enhance instruction-following capabilities while minimizing model redundancy. However, there is a lack of a unified ev...
While the complex reasoning capability of Large Language Models (LLMs) has attracted significant attention, single-agent systems often encounter inherent performance ceilings in complex tasks such as code generation. Multi-agent collaboration offers...
Discuss the 5th Generation Dodge Ram (2019–Present) here. From mod trends, maintenance issues, tuning, and generation news, and also connect with fellow Dodge Ram enthusiasts.
In Generation 2, Dark and Steel types were added, while in Generation 6 (Pokémon X and Pokémon Y) the Fairy type was added. Below are the differences compared to the current type chart.
Scene graph generation aims to construct a semantic graph structure from an image such that its nodes and edges respectively represent objects and their relationships. One of the major challenges for the task lies in the presence of distracting objec...
Subject-to-video generation has witnessed substantial progress in recent years. However, existing models still face significant challenges in faithfully following textual instructions. This limitation, commonly known as the copy-paste problem, arises...