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Collaborative perception has become a critical area of research in autonomous driving and robotics. In these fields, agents—such as vehicles or robots—must work together to understand…
Early attempts in 3D generation focused on single-view reconstruction using category-specific models. Recent advancements utilize pre-trained image and video generators, particularly diffusion models, to enable open-domain…
Microscopic imaging is crucial in modern medicine as an indispensable tool for researchers and clinicians. This imaging technology allows detailed examination of biological structures at the…
Deep learning has made significant strides in artificial intelligence, particularly in natural language processing and computer vision. However, even the most advanced systems often fail in…
Optical Character Recognition (OCR) technology has been essential in digitizing and extracting data from text images. Over the years, OCR systems have evolved from simple methods…
Recent advancements in diffusion models have significantly improved tasks like image, video, and 3D generation, with pre-trained models like Stable Diffusion being pivotal. However, adapting these…
Gaussian Splatting is a novel 3D rendering technique representing a scene as a collection of 3D Gaussian functions. These Gaussians are splatted, or projected, onto the…
Detecting and attributing temperature increases due to climate change is vital for addressing global warming and shaping adaptation strategies. Traditional methods struggle to separate human-induced climate…
Mathematical formula recognition has progressed significantly, driven by deep learning techniques and the Transformer architecture. Traditional OCR methods prove insufficient due to the complex structures of…
Recent advancements in sparse-view 3D reconstruction have focused on novel view synthesis and scene representation techniques. Methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting…