Popular GitHub Repositories for Arbitrary Conditioning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

?AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

An arbitrary face-swapping framework on images and videos with one single trained model!

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Arbitrary style transfer using TensorFlow.js

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

[768 Resolution] [Any "SDXL" Model] [Various Conditions] [Arbitrary Views] Official impl. of "MV-Adapter: Multi-view Consistent Image Generation Made Easy"

Four word embedding models implemented in Python. Supporting arbitrary context features

TensorFlow implementation of an arbitrary order Factorization Machine

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

A Versatile and Robust SDXL-ControlNet Model for Adaptable Line Art Conditioning

Official codes of CCSRv2 and CCSRv1: Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution

Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)

Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)