CompVis - Computer Vision and Learning LMU Munich
@CompVisOrganizationComputer Vision and Learning research group at Ludwig Maximilian University of Munich (formerly Computer Vision Group at Heidelberg University)
On the leaderboard
| Rank | Repository | Stars |
|---|---|---|
| 193 | CompVis/stable-diffusion | 72,816 |
Top repositories by stars
- Jupyter Notebook72,369
- CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Jupyter Notebook13,846 - CompVis/taming-transformers
Taming Transformers for High-Resolution Image Synthesis
Jupyter Notebook6,430 - CompVis/adaptive-style-transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
Python744 - CompVis/depth-fm
[AAAI 2025, Oral] DepthFM: Fast Monocular Depth Estimation with Flow Matching
Jupyter Notebook739 - CompVis/EDGS
A PyTorch implementation of the paper "EDGS: Eliminating Densification for Efficient Convergence of 3DGS"
Jupyter Notebook603 - CompVis/vunet
A generative model conditioned on shape and appearance.
Python508 - CompVis/geometry-free-view-synthesis
Is a geometric model required to synthesize novel views from a single image?
Python378 - CompVis/zigma
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
Python343 - CompVis/metric-learning-divide-and-conquer
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
Python265 - CompVis/fm-boosting
[ECCV 2024, Oral] FMBoost: Boosting Latent Diffusion with Flow Matching
Python256 - CompVis/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
Python226 - CompVis/image2video-synthesis-using-cINNs
Implementation of Stochastic Image-to-Video Synthesis using cINNs.
Python186 - Python171
- CompVis/brushstroke-parameterized-style-transfer
TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".
Python167 - CompVis/retrieval-augmented-diffusion-models
Official codebase for the Paper “Retrieval-Augmented Diffusion Models”
Jupyter Notebook137 - CompVis/attribute-control
Fine-Grained Subject-Specific Attribute Expression Control in T2I Models
Jupyter Notebook134 - CompVis/discrete-interpolants
The official implementation of "[MASK] is All You Need"
Jupyter Notebook126 - CompVis/imagebart
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Python125 - Jupyter Notebook124
- Python123
- CompVis/iin
A Disentangling Invertible Interpretation Network
Python123 - CompVis/diff2flow
[CVPR 2025] Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
Python103 - CompVis/content-style-disentangled-ST
Content and Style Disentanglement for Artistic Style Transfer [ICCV19]
98 - CompVis/invariances
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks
Python59 - CompVis/ipoke
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
Python53 - CompVis/SCFlow
[ICCV 2025] SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
Jupyter Notebook44 - CompVis/RepTok
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
39 - CompVis/distilldift
[WACV 2025] DistillDIFT: Distillation of Diffusion Features for Semantic Correspondence
Python35 - CompVis/unsupervised-part-segmentation
Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"
Jupyter Notebook34 - CompVis/maskflow
MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation
Jupyter Notebook27 - CompVis/DisCLIP
[AAAI 2025] Does VLM Classification Benefit from LLM Description Semantics?
Python25 - CompVis/robust-disentangling
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
Python25 - CompVis/content-targeted-style-transfer
Content Transformation Block For Image Style Transfer [CVPR19]
25 - CompVis/DisMo
Official repository for the paper "DisMo: DIsentangled Motion Representations for Open-World Motion Transfer"
Python23 - Python21
- CompVis/metric-learning-divide-and-conquer-improved
Source code for the paper "Improving Deep Metric Learning byDivide and Conquer"
Python21 - CompVis/cuneiform-sign-detection-dataset
Dataset provided with the article "Deep learning for cuneiform sign detection with weak supervision using transliteration alignment". It comprises image references, transliterations and sign annotations of clay tablets from the Neo-Assyrian epoch.
Jupyter Notebook17 - CompVis/visual-search
Visual search interface
11 - CompVis/cuneiform-sign-detection-code
Code for the article "Deep learning of cuneiform sign detection with weak supervision using transliteration alignment"
Jupyter Notebook10 - CompVis/magnify-posture-deviations
Unsupervised Magnification of Posture Deviations Across Subjects
9 - CompVis/hbugen2018
Towards Learning a Realistic Rendering of Human Behavior
9 - CompVis/Art-fm
[ICCV 2025] Stochastic Interpolants for Revealing Stylistic Flows across the History of Art
8 - CompVis/wast3d
Official project page for the paper "WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians"
JavaScript6 - 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".
JavaScript5 - CompVis/AutomaticBehaviorAnalysis_NatureComm
Source Code + Documentation of our Automatic Behavior Analysis Software
MATLAB5 - CompVis/deep_unsupervised_posets
Deep Unsupervised Similarity Learning using Partially Ordered Sets (CVPR17)
Python2 - CompVis/cliquecnn
Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
CSS2 - CompVis/mask
The official implementation of "[MASK] is All You Need"
Jupyter Notebook1