This AI Paper from Google and UC Berkeley Introduces NeRFiller: An Artificial Intelligence Approach that Revolutionizes 3D Scene Reconstruction Using 2D Inpainting Diffusion Models

  How can missing portions of a 3D capture be effectively completed? This research paper from Google Research and UC Berkeley introduces “NeRFiller,” a novel approach for 3D inpainting, which addresses the challenge of reconstructing incomplete 3D scenes or objects often missing due to reconstruction failures or lack of observations. This approach allows precise and…

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Google Bag Statue In Brazil Office

Here is an interesting Google statue from the Google Brazil office. It shows a Google bag icon in the form of a statue. I found this on Instagram. This post is part of our daily Search Photo of the Day column, where we find fun and interesting photos related to the search industry and share…

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President Kornbluth welcomes the Class of 2028 | MIT News

  Addressing MIT’s newest students and their families yesterday, President Sally Kornbluth and several alumni faculty offered some tips about how to thrive at the Institute. “You belong here,” Kornbluth and others assured the audience, while emphasizing the many ways that the 1,102 members of the Class of 2028 are connected and interdependent. “All of…

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DreamHOI: A Novel AI Approach for Realistic 3D Human-Object Interaction Generation Using Textual Descriptions and Diffusion Models

  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 generation. Fine-tuning on multi-view datasets improved results, but challenges persisted in generating complex compositions and interactions. Efforts to enhance compositionality in image generative models faced difficulties in transferring…

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