Trending Research

GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)

mchong6/GANsNRoses 11 Jun 2021

This adversarial loss guarantees the map is diverse -- a very wide range of anime can be produced from a single content code.

Image-to-Image Translation

5.99 stars / hour

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

kwai/DouZero 11 Jun 2021

Games are abstractions of the real world, where artificial agents learn to compete and cooperate with other agents.

Multi-agent Reinforcement Learning

1.69 stars / hour

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

NVlabs/SegFormer 31 May 2021

We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders.

Semantic Segmentation

1.69 stars / hour

SimSwap: An Efficient Framework For High Fidelity Face Swapping

neuralchen/SimSwap 11 Jun 2021

In contrast to previous approaches that either lack the ability to generalize to arbitrary identity or fail to preserve attributes like facial expression and gaze direction, our framework is capable of transferring the identity of an arbitrary source face into an arbitrary target face while preserving the attributes of the target face.

 Ranked #1 on Face Swapping on FaceForensics++ (ID retrieval metric)

Face Swapping

1.51 stars / hour

Plan2Scene: Converting Floorplans to 3D Scenes

3dlg-hcvc/plan2scene 9 Jun 2021

We address the task of converting a floorplan and a set of associated photos of a residence into a textured 3D mesh model, a task which we call Plan2Scene.


1.20 stars / hour

Styleformer: Transformer based Generative Adversarial Networks with Style Vector

Jeeseung-Park/Styleformer 13 Jun 2021

We propose Styleformer, which is a style-based generator for GAN architecture, but a convolution-free transformer-based generator.

Image Generation

0.96 stars / hour

A Minimalist Approach to Offline Reinforcement Learning

sfujim/TD3_BC 12 Jun 2021

Offline reinforcement learning (RL) defines the task of learning from a fixed batch of data.

Offline RL

0.75 stars / hour

Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds

mauriceweiler/MobiusCNNs 10 Jun 2021

We argue that the particular choice of coordinatization should not affect a network's inference -- it should be coordinate independent.

0.73 stars / hour

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

hkchengrex/STCN 9 Jun 2021

This paper presents a simple yet effective approach to modeling space-time correspondences in the context of video object segmentation.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

0.69 stars / hour

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

somepago/saint 2 Jun 2021

We devise a hybrid deep learning approach to solving tabular data problems.

Fraud Detection

0.66 stars / hour