Alias-Free Generative Adversarial Networks

NVlabs/stylegan3 23 Jun 2021

We observe that despite their hierarchical convolutional nature, the synthesis process of typical generative adversarial networks depends on absolute pixel coordinates in an unhealthy manner.

Image Generation

2,648
0.96 stars / hour

Generalized Out-of-Distribution Detection: A Survey

jingkang50/oodsurvey 21 Oct 2021

In this survey, we first present a generic framework called generalized OOD detection, which encompasses the five aforementioned problems, i. e., AD, ND, OSR, OOD detection, and OD.

Anomaly Detection Autonomous Driving +3

36
0.92 stars / hour

Lenia and Expanded Universe

Chakazul/Lenia 7 May 2020

We report experimental extensions of Lenia, a continuous cellular automata family capable of producing lifelike self-organizing autonomous patterns.

Artificial Life

2,711
0.85 stars / hour

Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese

langboat/mengzi 13 Oct 2021

Although pre-trained models (PLMs) have achieved remarkable improvements in a wide range of NLP tasks, they are expensive in terms of time and resources.

106
0.78 stars / hour

Taming Visually Guided Sound Generation

v-iashin/SpecVQGAN 17 Oct 2021

In this work, we propose a single model capable of generating visually relevant, high-fidelity sounds prompted with a set of frames from open-domain videos in less time than it takes to play it on a single GPU.

Audio Generation

81
0.68 stars / hour

Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation

thunil/TecoGAN 23 Nov 2018

Additionally, we propose a first set of metrics to quantitatively evaluate the accuracy as well as the perceptual quality of the temporal evolution.

Image Super-Resolution Motion Compensation +3

4,114
0.64 stars / hour

Graph Neural Networks with Learnable Structural and Positional Representations

vijaydwivedi75/gnn-lspe 15 Oct 2021

An approach to tackle this issue is to introduce Positional Encoding (PE) of nodes, and inject it into the input layer, like in Transformers.

Knowledge Graphs Recommendation Systems

70
0.59 stars / hour

TLDR: Twin Learning for Dimensionality Reduction

naver/tldr 18 Oct 2021

In this paper, we unify these two families of approaches from the angle of manifold learning and propose TLDR, a dimensionality reduction method for generic input spaces that is porting the simple self-supervised learning framework of Barlow Twins to a setting where it is hard or impossible to define an appropriate set of distortions by hand.

Dimensionality Reduction Representation Learning +1

52
0.55 stars / hour

Chunked Autoregressive GAN for Conditional Waveform Synthesis

descriptinc/cargan 19 Oct 2021

We show that simple pitch and periodicity conditioning is insufficient for reducing this error relative to using autoregression.

53
0.54 stars / hour

HRFormer: High-Resolution Transformer for Dense Prediction

HRNet/HRFormer 18 Oct 2021

We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that produces low-resolution representations and has high memory and computational cost.

Pose Estimation Semantic Segmentation

186
0.51 stars / hour