Ankit Dhiman 1,2* · Manan Shah 1* · Rishubh Parihar 1 · Yash Bhalgat 3 · Lokesh R Boregowda · R Venkatesh Babu 1
* Equal Contribution
1 Vision and AI Lab, IISc Bangalore
2 Samsung R & D Institute India - Bangalore
3 Visual Geometry Group, University of Oxford
- Release the training, inference and evaluation codes
- Release the checkpoints
- [22/10/2024] 🔥 Release the dataset
- [24/9/2024] 🔥 Release the paper and project page
We tackle the problem of generating highly realistic and plausible mirror reflections using diffusion-based generative models. We formulate this problem as an image inpainting task, allowing for more user control over the placement of mirrors during the generation process. To enable this, we create SynMirror, a large-scale dataset of diverse synthetic scenes with objects placed in front of mirrors. SynMirror contains around
@article{Dhiman2024Sep,
author = {Dhiman, Ankit and Shah, Manan and Parihar, Rishubh and Bhalgat, Yash and Boregowda, Lokesh R. and Babu, R. Venkatesh},
title = {{Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections}},
journal = {arXiv},
year = {2024},
month = sep,
eprint = {2409.14677},
doi = {10.48550/arXiv.2409.14677}
}