Text-to-image diffusion models represent an intriguing field in artificial intelligence research. They aim to create lifelike images based on textual descriptions utilizing diffusion models. The process involves iteratively generating samples from a basic distribution, gradually transforming...
Advancements in Artificial Intelligence (AI) and Deep Learning have brought a great transformation in the way humans interact with computers. With the introduction of diffusion models, generative modeling has shown remarkable capabilities in various applications, including...
In vision, the Segment Anything Model (SAM) has achieved remarkable success, attaining cutting-edge results in numerous image segmentation tasks, including zero-shot object proposal generation,...
The researchers from The University of Hong Kong, Alibaba Group, and Ant Group developed LivePhoto to solve the issue of temporal motions being overlooked...
Efficiently tackling complex optimization problems, ranging from global package routing to power grid management, has been a persistent challenge. Traditional methods, notably mixed-integer linear...
How can we improve CLIP for more focused and controlled image understanding and editing? Researchers from Shanghai Jiao Tong University, Fudan University, The Chinese...
Large Language Models (LLMs) are recent innovations in the field of Artificial Intelligence (AI) and Deep Learning. Some of the well-known LLMs, like GPT,...
How can missing portions of a 3D capture be effectively completed? This research paper from Google Research and UC Berkeley introduces "NeRFiller," a novel...
This research tackles an inherent challenge in Claude 2.1's functionality: its reluctance to answer questions based on individual sentences within its extensive 200K token...
How can high-quality 3D reconstructions be achieved from a limited number of images? A team of researchers from Columbia University and Google introduced 'ReconFusion,'...
How can high-quality images be generated without relying on human annotations? This paper from MIT CSAIL and FAIR Meta has addressed the challenge of...
Researchers from FNii CUHKSZ, SSE CUHKSZ introduce MVHumanNet, a vast dataset for multi-view human action sequences with extensive annotations, including human masks, camera parameters,...
Over the past few years, there have been significant advancements in Machine Learning (ML), with numerous frameworks and libraries developed to simplify our tasks....
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