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DreamBooth3D: Subject-Driven Text-to-3D Generation
IEEE International Conference on Computer Vision, 2023We present DreamBooth3D, an approach to personalize text-to-3D generative models from as few as 3-6 casually captured images of a subject. Our approach combines recent advances in personalizing text-to-image models (DreamBooth) with text-to-3D generation
Amit Raj +11 more
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ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
European Conference on Computer Vision, 2023Methods for finetuning generative models for concept-driven personalization generally achieve strong results for subject-driven or style-driven generation. Recently, low-rank adaptations (LoRA) have been proposed as a parameter-efficient way of achieving
Viraj Shah +6 more
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Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject
Television & New Media, 2018We are often told that data are the new oil. But unlike oil, data are not a substance found in nature. It must be appropriated. The capture and processing of social data unfolds through a process we call data relations, which ensures the “natural ...
N. Couldry, U. Mejías
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Structural Subject and Thematic Subject
Lingvisticae Investigationes, 1988In the tradition of generative grammar, two different definitions of "subject" have been proposed: we name the first one "structural", since it is based on the constituent structure of the sentence, and the second one "thematic", because it makes use of the concept of thematic role. We argue that both definitions are necessary, since they deal with two
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