Trending Research
EasySpider: A No-Code Visual System for Crawling the Web
As such, web-crawling is an essential tool for both computational and non-computational scientists to conduct research.
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
Deepfake detection faces a critical generalization hurdle, with performance deteriorating when there is a mismatch between the distributions of training and testing data.
RULER: What's the Real Context Size of Your Long-Context Language Models?
Despite achieving nearly perfect accuracy in the vanilla NIAH test, all models exhibit large performance drops as the context length increases.
TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models
The dataset comprises 236, 220 pairs of style prompt in natural text descriptions with five style factors and corresponding speech samples.
A Survey on Vision Mamba: Models, Applications and Challenges
ruixxxx/awesome-vision-mamba-models
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To help keep pace with the rapid advancements in computer vision, this paper aims to provide a comprehensive review of visual Mamba approaches.
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability.
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
We outperform encoder-only models by a large margin on word-level tasks and reach a new unsupervised state-of-the-art performance on the Massive Text Embeddings Benchmark (MTEB).
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
For the training, we begin with the knowledge distillation from the SAM-ViT-H image encoder to EfficientViT.
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
showlab/show-1
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In this paper, we are the first to propose a hybrid model, dubbed as Show-1, which marries pixel-based and latent-based VDMs for text-to-video generation.
Ranked #2 on
Text-to-Video Generation
on EvalCrafter Text-to-Video (ECTV) Dataset
(using extra training data)
WorldGPT: Empowering LLM as Multimodal World Model
dcdmllm/worldgpt
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As for evaluation, we build WorldNet, a multimodal state transition prediction benchmark encompassing varied real-life scenarios.
