Collaborative Neural Rendering using Anime Character Sheets

Published in

International Joint Conference on Artificial In...(2022)

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TL;DR

This paper presents the Collaborative Neural Rendering (CoNR) method, which creates new images for specified poses from a few reference images (AKA Character Sheets), and collects a character sheet dataset containing over 700,000 hand-drawn and synthesized images of diverse poses to facilitate research in this area.

Abstract

Drawing images of characters with desired poses is an essential but laborious task in anime production. Assisting artists to create is a research hotspot in recent years. In this paper, we present the Collaborative Neural Rendering (CoNR) method, which creates new images for specified poses from a few reference images (AKA Character Sheets). In general, the diverse hairstyles and garments of anime characters defies the employment of universal body models like SMPL, which fits in most nude human shapes. To overcome this, CoNR uses a compact and easy-to-obtain landmark encoding to avoid creating a unified UV mapping in the pipeline. In addition, the performance of CoNR can be significantly improved when referring to multiple reference images, thanks to feature space cross-view warping in a carefully designed neural network. Moreover, we have collected a character sheet dataset containing over 700,000 hand-drawn and synthesized images of diverse poses to facilitate research in this area. The code and dataset is available at https://github.com/megvii-research/IJCAI2023-CoNR.

Authors

Zuzeng Lin

1 papers

Ailin Huang

1 papers

Zhewei Huang

1 papers

References75 items

SMPL: A Skinned Multi-Person Linear Model

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Improving the Perceptual Quality of 2D Animation Interpolation

Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

Collaborative Neural Rendering using Anime Character Sheets

Published in

International Joint Conference on Artificial In...(2022)

External Links:

Generate Graph DownloadPDF

TL;DR

Abstract

Authors

Zuzeng Lin

1 papers

Ailin Huang

1 papers

Zhewei Huang

1 papers

References75 items

SMPL: A Skinned Multi-Person Linear Model

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Improving the Perceptual Quality of 2D Animation Interpolation

Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

Shuchang Zhou

4 papers

EigenGAN: Layer-Wise Eigen-Learning for GANs

Motion Representations for Articulated Animation

Surrogate Gradient Field for Latent Space Manipulation

Deep Permutation Equivariant Structure from Motion

TL;DR

Abstract

Authors

References75 items

SMPL: A Skinned Multi-Person Linear Model

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Improving the Perceptual Quality of 2D Animation Interpolation

Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

TL;DR

Abstract

Authors

References75 items

SMPL: A Skinned Multi-Person Linear Model

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Improving the Perceptual Quality of 2D Animation Interpolation

Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

EigenGAN: Layer-Wise Eigen-Learning for GANs

Motion Representations for Articulated Animation

Surrogate Gradient Field for Latent Space Manipulation

Deep Permutation Equivariant Structure from Motion

Deep Animation Video Interpolation in the Wild

Learning Transferable Visual Models From Natural Language Supervision

Template-Free Try-On Image Synthesis via Semantic-Guided Optimization

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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Et al

Markerless garment capture

Nonphotorealistic rendering

A Morphable Model For The Synthesis Of 3D Faces

Large steps in cloth simulation

Vectorization of Raster Manga by Deep Reinforcement Learning

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