53 citations · 125 across the 19 of their papers we have counts for
4 papers · 1 filter
Leveraging Diffusion Models for Stylization using Multiple Style Images
Dan Ruta, Abdelaziz Djelouah, Raphael Ortiz +1
Recent advances in latent diffusion models have enabled exciting progress in image style transfer. However, several key issues remain. For example, existing methods still struggle…
Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation
Karlis Martins Briedis, Markus Gross, Christopher Schroers
Recent optical flow estimation methods often employ local cost sampling from a dense all-pairs correlation volume. This results in quadratic computational and memory complexity in…
Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression
Lucas Relic, Roberto Azevedo, Yang Zhang +2
Generative neural image compression supports data representation at extremely low bitrate, synthesizing details at the client and consistently producing highly realistic images. By…
High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion
Xiang Zhang, Yang Zhang, Lukas Mehl +2
Despite recent advances in Novel View Synthesis (NVS), generating high-fidelity views from single or sparse observations remains a significant challenge. Existing splatting-based a…