Cut and Learn for Unsupervised Object Detection and Instance Segmentation

facebookresearch/cutler 26 Jan 2023

We propose Cut-and-LEaRn (CutLER), a simple approach for training unsupervised object detection and segmentation models.

Instance Segmentation object-detection +2

2.99 stars / hour

InstructPix2Pix: Learning to Follow Image Editing Instructions

timothybrooks/instruct-pix2pix 17 Nov 2022

We propose a method for editing images from human instructions: given an input image and a written instruction that tells the model what to do, our model follows these instructions to edit the image.

Language Modelling Text-based Image Editing +1

2.63 stars / hour

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

autonomousvision/stylegan-t 23 Jan 2023

Text-to-image synthesis has recently seen significant progress thanks to large pretrained language models, large-scale training data, and the introduction of scalable model families such as diffusion and autoregressive models.

Pretrained Language Models Text-to-Image Generation

2.00 stars / hour

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

stanfordnlp/dsp 28 Dec 2022

Retrieval-augmented in-context learning has emerged as a powerful approach for addressing knowledge-intensive tasks using frozen language models (LM) and retrieval models (RM).

Language Modelling Question Answering +1

1.35 stars / hour

Generating Sequences With Recurrent Neural Networks

sjvasquez/handwriting-synthesis 4 Aug 2013

This paper shows how Long Short-term Memory recurrent neural networks can be used to generate complex sequences with long-range structure, simply by predicting one data point at a time.

Language Modelling Text Generation

1.25 stars / hour

Hungry Hungry Hippos: Towards Language Modeling with State Space Models

hazyresearch/h3 28 Dec 2022

First, we use synthetic language modeling tasks to understand the gap between SSMs and attention.

Few-Shot Learning Language Modelling

1.23 stars / hour

Fine-Tuning Language Models from Human Preferences

lvwerra/trl 18 Sep 2019

Most work on reward learning has used simulated environments, but complex information about values is often expressed in natural language, and we believe reward learning for language is a key to making RL practical and safe for real-world tasks.

Language Modelling

1.20 stars / hour

Learning the Beauty in Songs: Neural Singing Voice Beautifier

MoonInTheRiver/DiffSinger ACL 2022

Furthermore, we propose a latent-mapping algorithm in the latent space to convert the amateur vocal tone to the professional one.

Dynamic Time Warping

1.18 stars / hour

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

sarafridov/k-planes 24 Jan 2023

We introduce k-planes, a white-box model for radiance fields in arbitrary dimensions.

Novel View Synthesis

1.16 stars / hour

VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling

air-discover/vibus 20 Oct 2022

In the first stage, we perform self-supervised representation learning on unlabeled points with the proposed Viewpoint Bottleneck loss function.

Representation Learning Scene Parsing

0.79 stars / hour