Search Results for author:
Found 2 papers, 1 papers with code
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
First, we show that the latent space of LDMs (z-space) is a better input representation compared to other feature representations like RGB images or CLIP encodings for text-based image segmentation.
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Ideally, this results in images from two domains that present shared information to the primary network.
Ranked #2 on
Monocular Depth Estimation
on Make3D
Cannot find the paper you are looking for? You can
Submit a new open access paper.
