Browsing: AI News
Label-efficient segmentation has emerged as a crucial area of research, particularly in point cloud semantic segmentation. While deep learning techniques have advanced this field, the reliance…
Text-to-image generation has evolved rapidly, with significant contributions from diffusion models, which have revolutionized the field. These models are designed to produce realistic and detailed images…
3D occupancy estimation methods initially relied heavily on supervised training approaches requiring extensive 3D annotations, which limited scalability. Self-supervised and weakly-supervised learning techniques emerged to address…
Large language models (LLMs) based on autoregressive Transformer Decoder architectures have advanced natural language processing with outstanding performance and scalability. Recently, diffusion models have gained attention…
[Promotion] 🔔 The most accurate, reliable, and user-friendly AI search engine available Recent advancements in AI and deep learning have revolutionized 3D scene generation, impacting various…
This paper introduces Show-o, a unified transformer model that integrates multimodal understanding and generation capabilities within a single architecture. As artificial intelligence advances, there’s been significant…
Language Foundation Models (LFMs) and Large Language Models (LLMs) have demonstrated their ability to handle multiple tasks efficiently with a single fixed model. This achievement has…
Large-scale pretraining followed by task-specific fine-tuning has revolutionized language modeling and is now transforming computer vision. Extensive datasets like LAION-5B and JFT-300M enable pre-training beyond traditional…
The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand long video sequences that contain extensive…
Large Multimodal Models (LMMs) are rapidly advancing, driven by the need to develop artificial intelligence systems capable of processing and generating content across multiple modalities, such…