CompVis - Computer Vision and Learning LMU Munich

stable-diffusion

A latent text-to-image diffusion model

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

adaptive-style-transfer

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

vunet

A generative model conditioned on shape and appearance.

geometry-free-view-synthesis

Is a geometric model required to synthesize novel views from a single image?

depth-fm

DepthFM: Fast Monocular Depth Estimation with Flow Matching

net2net

Network-to-Network Translation with Conditional Invertible Neural Networks

zigma

A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)

image2video-synthesis-using-cINNs

Implementation of Stochastic Image-to-Video Synthesis using cINNs.

brushstroke-parameterized-style-transfer

TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

iin

A Disentangling Invertible Interpretation Network

imagebart

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

retrieval-augmented-diffusion-models

Official codebase for the Paper “Retrieval-Augmented Diffusion Models”

attribute-control

Fine-Grained Subject-Specific Attribute Expression Control in T2I Models

fm-boosting

Boosting Latent Diffusion with Flow Matching

content-style-disentangled-ST

Content and Style Disentanglement for Artistic Style Transfer [ICCV19]

LoRAdapter

interactive-image2video-synthesis

invariances

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks

ipoke

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

instant-lora-composition

behavior-driven-video-synthesis

robust-disentangling

Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis

metric-learning-divide-and-conquer-improved

Source code for the paper "Improving Deep Metric Learning byDivide and Conquer"

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.

visual-search

Visual search interface

cuneiform-sign-detection-code

Code for the article "Deep learning of cuneiform sign detection with weak supervision using transliteration alignment"

cuneiform-sign-detection-webapp

Code for demo web application of the article "Deep learning for cuneiform sign detection with weak supervision using transliteration alignment".

Characterizing_Generalization_in_DML