Search Results for author:
Found 6 papers, 5 papers with code
Local Relighting of Real Scenes
We introduce the task of local relighting, which changes a photograph of a scene by switching on and off the light sources that are visible within the image.
Exploring Visual Prompts for Adapting Large-Scale Models
The surprising effectiveness of visual prompting provides a new perspective on adapting pre-trained models in vision.
Generative Models as a Data Source for Multiview Representation Learning
We investigate this question in the setting of learning general-purpose visual representations from a black-box generative model rather than directly from data.
Instance Semantic Segmentation Benefits from Generative Adversarial Networks
Rethinking reconstruction networks as a generator, we define the problem of predicting masks as a GANs game framework: A segmentation network generates the masks, and a discriminator network decides on the quality of the masks.
On the "steerability" of generative adversarial networks
We hypothesize that the degree of distributional shift is related to the breadth of the training data distribution.
