CompVis - Computer Vision and Learning LMU Munich
Computer Vision and Learning research group at Ludwig Maximilian University of Munich (formerly Computer Vision Group at Heidelberg University)
Germany
Pinned Repositories
adaptive-style-transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
depth-fm
[AAAI 2025, Oral] DepthFM: Fast Monocular Depth Estimation with Flow Matching
EDGS
A PyTorch implementation of the paper "EDGS: Eliminating Densification for Efficient Convergence of 3DGS"
geometry-free-view-synthesis
Is a geometric model required to synthesize novel views from a single image?
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
metric-learning-divide-and-conquer
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
stable-diffusion
A latent text-to-image diffusion model
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
vunet
A generative model conditioned on shape and appearance.
zigma
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
CompVis - Computer Vision and Learning LMU Munich's Repositories
CompVis/adaptive-style-transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
CompVis/vunet
A generative model conditioned on shape and appearance.
CompVis/metric-learning-divide-and-conquer
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
CompVis/image2video-synthesis-using-cINNs
Implementation of Stochastic Image-to-Video Synthesis using cINNs.
CompVis/brushstroke-parameterized-style-transfer
TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".
CompVis/iin
A Disentangling Invertible Interpretation Network
CompVis/content-style-disentangled-ST
Content and Style Disentanglement for Artistic Style Transfer [ICCV19]
CompVis/invariances
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks
CompVis/unsupervised-disentangling
CompVis/unsupervised-part-segmentation
Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"
CompVis/content-targeted-style-transfer
Content Transformation Block For Image Style Transfer [CVPR19]
CompVis/robust-disentangling
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
CompVis/metric-learning-divide-and-conquer-improved
Source code for the paper "Improving Deep Metric Learning byDivide and Conquer"
CompVis/visual-search
Visual search interface
CompVis/hbugen2018
Towards Learning a Realistic Rendering of Human Behavior
CompVis/magnify-posture-deviations
Unsupervised Magnification of Posture Deviations Across Subjects
CompVis/AutomaticBehaviorAnalysis_NatureComm
Source Code + Documentation of our Automatic Behavior Analysis Software
CompVis/Characterizing_Generalization_in_DML
CompVis/cuneiform-sign-detection-webapp
Code for demo web application of the article "Deep learning for cuneiform sign detection with weak supervision using transliteration alignment".
CompVis/cliquecnn
Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
CompVis/deep_unsupervised_posets
Deep Unsupervised Similarity Learning using Partially Ordered Sets (CVPR17)
CompVis/network-fusion