11 citations · 11 across the 2 of their papers we have counts for
3 papers · 1 filter
DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution
Hidir Yesiltepe, Koutilya PNVR, Gaurav Pathak +4
Recent progress in video diffusion models has enabled remarkable generative fidelity, yet leveraging these priors for restoration remains limited by the strong coupling between con…
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
Koutilya Pnvr, Bharat Singh, Pallabi Ghosh +2
Large-scale pre-training tasks like image classification, captioning, or self-supervised techniques do not incentivize learning the semantic boundaries of objects. However, recent…
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Koutilya PNVR, Hao Zhou, David Jacobs
We propose a novel method for combining synthetic and real images when training networks to determine geometric information from a single image. We suggest a method for mapping bot…