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

6.03 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

3.04 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

2.12 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

1.90 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

1.40 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

1.16 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

0.87 stars / hour

Learning-Rate-Free Learning by D-Adaptation

facebookresearch/dadaptation 18 Jan 2023

In this work, we describe a single-loop method, with no back-tracking or line searches, which does not require knowledge of $D$ yet asymptotically achieves the optimal rate of convergence for the complexity class of convex Lipschitz functions.

0.83 stars / hour

Towards Robust Blind Face Restoration with Codebook Lookup Transformer

sczhou/codeformer 22 Jun 2022

In this paper, we demonstrate that a learned discrete codebook prior in a small proxy space largely reduces the uncertainty and ambiguity of restoration mapping by casting blind face restoration as a code prediction task, while providing rich visual atoms for generating high-quality faces.

Blind Face Restoration

0.69 stars / hour