2 papers
cs.CV2025
Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models
Ishaan Malhi, Praneet Dutta, Ellie Talius +5
We present a framework for high-fidelity product image recontextualization using text-to-image diffusion models and a novel data augmentation pipeline. This pipeline leverages imag…
cs.LG2020
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi, Frederick Liu, Mukund Sundararajan +1
We introduce a method called TracIn that computes the influence of a training example on a prediction made by the model. The idea is to trace how the loss on the test point changes…