CompVis/interactive-image2video-synthesis

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Python
License
MIT License
Created over 3 years ago
Updated almost 2 years ago

CompVis/interactive-image2video-synthesis

CompVis

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stable-diffusion

A latent text-to-image diffusion model

Jupyter Notebook

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Jupyter Notebook

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

Jupyter Notebook

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

Jupyter Notebook

metric-learning-divide-and-conquer

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

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"

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".

fm-boosting

FMBoost: Boosting Latent Diffusion with Flow Matching (ECCV 2024 Oral)

imagebart

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

iin

A Disentangling Invertible Interpretation Network

retrieval-augmented-diffusion-models

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

Jupyter Notebook

attribute-control

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

Jupyter Notebook

content-style-disentangled-ST

Content and Style Disentanglement for Artistic Style Transfer [ICCV19]

unsupervised-disentangling

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

unsupervised-part-segmentation

Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"

Jupyter Notebook

behavior-driven-video-synthesis

content-targeted-style-transfer

Content Transformation Block For Image Style Transfer [CVPR19]

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.

Jupyter Notebook

visual-search

Visual search interface

magnify-posture-deviations

Unsupervised Magnification of Posture Deviations Across Subjects

cuneiform-sign-detection-code

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

Jupyter Notebook

hbugen2018

Towards Learning a Realistic Rendering of Human Behavior

AutomaticBehaviorAnalysis_NatureComm

Source Code + Documentation of our Automatic Behavior Analysis Software

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

network-fusion