github.com/Wan-Video/Wan2.2
Wan-Video/Wan2.2
Wan: Open and Advanced Large-Scale Video Generative Models (⭐ 14531)
github.com/Wan-Video/Wan2.1
Wan-Video/Wan2.1
Wan: Open and Advanced Large-Scale Video Generative Models (⭐ 15507)
www.bing.com/ck/a?!&&p=4766820d12d97943c4a1881ee6f3ad8f6338a7127bd712885ac02951eb7983e9JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=3d34f280-b158-6fb4-0e84-e590b09a6e69&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvNjg1NjczNjAvaG93LXRvLXJlc29sdmUtZmFjZWJvb2stbG9naW4taXMtY3VycmVudGx5LXVuYXZhaWxhYmxlLWZvci10aGlzLWFwcC1zaW5jZS13ZS1hcg&ntb=1
How to resolve Facebook Login is currently unavailable for this app ...
Jul 28, 2021 · In the facebook developers console for your app, go to App Review-> Permissions and Features. Set the public_profile and email to have advanced access. This will allow all facebook …
arxiv.org/abs/2504.01619v2
3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splattin…
Recent advancements in text-to-3D generation have shown remarkable results by leveraging 3D priors in combination with 2D diffusion. However, previous methods utilize 3D priors that lack detailed and complex structural information, limiting them to g...
en.wikipedia.org/wiki/Atkinson_Morley_Hospital
Atkinson Morley Hospital - Wikipedia
Wimbledon, southwest London, England from 1869 until 2003. Initially a convalescent hospital, it became one of the most advanced brain surgery centres in
arxiv.org/abs/2503.24356v1
Single-Shot Matrix-Matrix Multiplication Optical Tensor Processor for Deep Learn…
The ever-increasing data demand craves advancements in high-speed and energy-efficient computing hardware. Analog optical neural network (ONN) processors have emerged as a promising solution, offering benefits in bandwidth and energy consumption. How...
arxiv.org/abs/2305.03925v3
Structure-Function Dynamics Hybrid Modeling: RNA Degradation
RNA structure and functional dynamics play fundamental roles in controlling biological systems. Molecular dynamics simulation, which can characterize interactions at an atomistic level, can advance the understanding on new drug discovery, manufacturi...
arxiv.org/abs/2507.20130v1
Generative molecule evolution using 3D pharmacophore for efficient Structure-Bas…
Recent advances in generative models, particularly diffusion and auto-regressive models, have revolutionized fields like computer vision and natural language processing. However, their application to structure-based drug design (SBDD) remains limited...
www.reddit.com/r/rav4club/comments/1foqrzx/2022_wheels_fit_on_2014/
2022 wheels fit on 2014?
Hi all, I am selling my 2022 wheels and tyres and a person is asking if they will fit on his 2014. Does anyone know if the offset is different? If so how much? thank you in advance ...
arxiv.org/abs/2509.00065v1
Hybrid Perception and Equivariant Diffusion for Robust Multi-Node Rebar Tying
Rebar tying is a repetitive but critical task in reinforced concrete construction, typically performed manually at considerable ergonomic risk. Recent advances in robotic manipulation hold the potential to automate the tying process, yet face challen...
www.bing.com/ck/a?!&&p=e26834186c7aaecc841eba5b6eafb1e2c74fd0ac6858dbd449eff5ac4e143536JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=005d43c2-b6a1-6dc1-3777-54d2b7676cf6&u=a1aHR0cHM6Ly9kaWN0aW9uYXJ5LmNhbWJyaWRnZS5vcmcvZGljdGlvbmFyeS9lbmdsaXNoL2FjY2lkZW50YWxseQ&ntb=1
ACCIDENTALLY | English meaning - Cambridge Dictionary
Idiom accidentally on purpose (Definition of accidentally from the Cambridge Advanced Learner's Dictionary & Thesaurus © Cambridge University Press)
arxiv.org/abs/2410.24158v2
Convex optimization with $p$-norm oracles
In recent years, there have been significant advances in efficiently solving $\ell_s$-regression using linear system solvers and $\ell_2$-regression [Adil-Kyng-Peng-Sachdeva, J. ACM'24]. Would efficient smoothed $\ell_p$-norm solvers lead to even fas...
arxiv.org/abs/2511.20565v1
DINO-Tok: Adapting DINO for Visual Tokenizers
Recent advances in visual generation have highlighted the rise of Latent Generative Models (LGMs), which rely on effective visual tokenizers to bridge pixels and semantics. However, existing tokenizers are typically trained from scratch and struggle...
arxiv.org/abs/2105.06711v1
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition
It is known that the kinematics of the human body skeleton reveals valuable information in action recognition. Recently, modeling skeletons as spatio-temporal graphs with Graph Convolutional Networks (GCNs) has been reported to solidly advance the st...
arxiv.org/abs/2212.00805v2
Astro-COLIBRI 2 -- an advanced platform for real-time multi-messenger discoverie…
The study of flaring astrophysical events in the multi-messenger approach requires instantaneous follow-up observations to better understand the nature of these events through complementary observational data. We present Astro-COLIBRI as a platform t...
arxiv.org/abs/2405.14736v2
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Recent advancements in dataset distillation have demonstrated the significant benefits of employing soft labels generated by pre-trained teacher models. In this paper, we introduce a novel perspective by emphasizing the full utilization of labels. We...
arxiv.org/abs/2502.10497v1
Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and D…
Recent advancements in Generative AI have significantly improved the efficiency and adaptability of natural language processing (NLP) systems, particularly through Retrieval-Augmented Generation (RAG), Low-Rank Adaptation (LoRA), and Weight-Decompose...
arxiv.org/abs/2209.02492v1
Surya Namaskar: real-time advanced yoga pose recognition and correction for smar…
Nowadays, yoga has gained worldwide attention because of increasing levels of stress in the modern way of life, and there are many ways or resources to learn yoga. The word yoga means a deep connection between the mind and body. Today there is substa...
arxiv.org/abs/1711.10398v3
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Object detection is an important and challenging problem in computer vision. Although the past decade has witnessed major advances in object detection in natural scenes, such successes have been slow to aerial imagery, not only because of the huge va...
arxiv.org/abs/2501.00593v2
Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
Language models have made remarkable advancements in understanding and generating human language, achieving notable success across a wide array of applications. However, evaluating these models remains a significant challenge, particularly for resour...