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cs.CV2024
Unified Framework for Open-World Compositional Zero-shot Learning
Hirunima Jayasekara, Khoi Pham, Nirat Saini +1
Open-World Compositional Zero-Shot Learning (OW-CZSL) addresses the challenge of recognizing novel compositions of known primitives and entities. Even though prior works utilize la…
cs.CV2024
InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models
Nirat Saini, Navaneeth Bodla, Ashish Shrivastava +4
We introduce InVi, an approach for inserting or replacing objects within videos (referred to as inpainting) using off-the-shelf, text-to-image latent diffusion models. InVi targets…
cs.CV2023
Chop & Learn: Recognizing and Generating Object-State Compositions
Nirat Saini, Hanyu Wang, Archana Swaminathan +4
Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions. In this paper, we study the task of cutting o…