Papers with inference denoising
Imposter: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models (2025.coling-main)
Copied to clipboard
| Challenge: | ImPoster is a novel algorithm for generating a target image of a ‘source’ subject performing a 'driving' action. |
| Approach: | They propose an unsupervised approach that generates a target image of a ‘source’ subject performing a driving action from a single pair of inputs along with the text descriptions of the two images. |
| Outcome: | The proposed algorithm is completely unsupervised and does not require access to additional annotations like keypoints or pose. |