CompVis - Computer Vision and Learning LMU Munich
CompVis - Computer Vision and Learning LMU Munich
net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
metric-learning-divide-and-conquer
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
brushstroke-parameterized-style-transfer
TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".
adaptive-style-transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
geometry-free-view-synthesis
Is a geometric model required to synthesize novel views from a single image?
image2video-synthesis-using-cINNs
Implementation of Stochastic Image-to-Video Synthesis using cINNs.
imagebart
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
taming-transformers
Taming Transformers for High-Resolution Image Synthesis