Search Results for author: Joanna Materzynska

Found 4 papers, 2 papers with code

Erasing Concepts from Diffusion Models

1 code implementation13 Mar 2023 Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau

We propose a fine-tuning method that can erase a visual concept from a pre-trained diffusion model, given only the name of the style and using negative guidance as a teacher.

Text-based Image Editing

Disentangling visual and written concepts in CLIP

no code implementations CVPR 2022 Joanna Materzynska, Antonio Torralba, David Bau

The CLIP network measures the similarity between natural text and images; in this work, we investigate the entanglement of the representation of word images and natural images in its image encoder.


Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks

1 code implementation CVPR 2020 Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell

Human action is naturally compositional: humans can easily recognize and perform actions with objects that are different from those used in training demonstrations.

Action Recognition

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

no code implementations CVPR 2016 German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, Antonio M. Lopez

In order to answer this question we have generated a synthetic collection of diverse urban images, named SYNTHIA, with automatically generated class annotations.

Autonomous Driving Semantic Segmentation

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