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Found 7 papers, 4 papers with code
Video Editing via Factorized Diffusion Distillation
We introduce Emu Video Edit (EVE), a model that establishes a new state-of-the art in video editing without relying on any supervised video editing data.
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Lastly, to facilitate a more rigorous and informed assessment of instructable image editing models, we release a new challenging and versatile benchmark that includes seven different image editing tasks.
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Using this web app we build Pick-a-Pic, a large, open dataset of text-to-image prompts and real users' preferences over generated images.
X&Fuse: Fusing Visual Information in Text-to-Image Generation
We introduce X&Fuse, a general approach for conditioning on visual information when generating images from text.
A Few More Examples May Be Worth Billions of Parameters
We investigate the dynamics of increasing the number of model parameters versus the number of labeled examples across a wide variety of tasks.
Few-Shot Question Answering by Pretraining Span Selection
Given a passage with multiple sets of recurring spans, we mask in each set all recurring spans but one, and ask the model to select the correct span in the passage for each masked span.
Coreference Resolution without Span Representations
The introduction of pretrained language models has reduced many complex task-specific NLP models to simple lightweight layers.
Ranked #5 on
Coreference Resolution
on CoNLL 2012
