17 citations · 34 across the 8 of their papers we have counts for
8 papers
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images
Weichen Zhang, Xiang Zhou, Yukang Cao +2
We address the problem of photorealistic 3D face avatar synthesis from sparse images. Existing Parametric models for face avatar reconstruction struggle to generate details that or…
Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding
Ziyang Yuan, Yiming Zhu, Yu Li +2
3D GAN inversion aims to achieve high reconstruction fidelity and reasonable 3D geometry simultaneously from a single image input. However, existing 3D GAN inversion methods rely o…
TextIR: A Simple Framework for Text-based Editable Image Restoration
Yunpeng Bai, Cairong Wang, Shuzhao Xie +3
Most existing image restoration methods use neural networks to learn strong image-level priors from huge data to estimate the lost information. However, these works still struggle…
ITstyler: Image-optimized Text-based Style Transfer
Yunpeng Bai, Jiayue Liu, Chao Dong +1
Text-based style transfer is a newly-emerging research topic that uses text information instead of style image to guide the transfer process, significantly extending the applicatio…
Towards Arbitrary Text-driven Image Manipulation via Space Alignment
Yunpeng Bai, Zihan Zhong, Chao Dong +3
The recent GAN inversion methods have been able to successfully invert the real image input to the corresponding editable latent code in StyleGAN. By combining with the language-vi…
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
Yiming Zhu, Hongyu Liu, Yibing Song +5
Free-form text prompts allow users to describe their intentions during image manipulation conveniently. Based on the visual latent space of StyleGAN[21] and text embedding space of…
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images
Jinjin Gu, Haoming Cai, Chenyu Dong +4
Rendering high-resolution (HR) graphics brings substantial computational costs. Efficient graphics super-resolution (SR) methods may achieve HR rendering with small computing resou…
PS-NeRV: Patch-wise Stylized Neural Representations for Videos
Yunpeng Bai, Chao Dong, Cairong Wang
We study how to represent a video with implicit neural representations (INRs). Classical INRs methods generally utilize MLPs to map input coordinates to output pixels. While some r…