Browsing: Hugging Face
In recent years, image editing models have witnessed remarkable and rapid development. The recent unveiling of cutting-edge multimodal models such…
Despite the rapid growth of machine learning research, corresponding code implementations are often unavailable, making it slow and labor-intensive for…
The Contrastive Language-Image Pre-training (CLIP) framework has become a widely used approach for multimodal representation learning, particularly in image-text retrieval…
Visit our project page at: https://apc-vlm.github.io/ 🙂 Abstract:We present a framework for perspective-aware reasoning in vision-language models (VLMs) through mental…
Autoregressive patch-based image generation has recently shown competitive results in terms of image quality and scalability. It can also be…
Humans can develop internal world models that encode common sense knowledge, telling them how the world works and predicting the…
Humans naturally share information with those they are connected to, and video has become one of the dominant mediums for…
Can we build accurate world models out of large language models (LLMs)? How can world models benefit LLM agents? The…
Recognizing and reasoning about occluded (partially or fully hidden) objects is vital to understanding visual scenes, as occlusions frequently occur…
Intellectual Property (IP) is a unique domain that integrates technical and legal knowledge, making it inherently complex and knowledge-intensive. As…