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2025-01-11 02:51:29
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87719371 (github.io)
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Project page for 'Text2LIVE: Text-Driven Layered Image and Video Editing.'
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2026-01-17 12:35:02
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Text2LIVE: Text-Driven Layered Image and Video Editing Text2LIVE: Text-Driven Layered Image and Video Editing ECCV 2022 Oral Omer Bar-Tal *1 Dolev Ofri-Amar *1 Rafail Fridman *1 Yoni Kasten 2 Tali Dekel 1 1 Weizmann Institute of Science 2 NVIDIA Research | Paper | Supplementary Material | Code | Previous Next Previous Next * Equal contribution Abstract We present a method for zero-shot, text-driven appearance manipulation in natural images and videos. Specifically, given an input image or video and a target text prompt, our goal is to edit the appearance of existing objects (e.g., object's texture) or augment the scene with new visual effects (e.g., smoke, fire) in a semantically meaningful manner. Our framework trains a generator using an internal dataset of training examples, extracted from a single input (image or video and target text prompt), while leveraging an external pre-tr...
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