20 citations · 23 across the 3 of their papers we have counts for
4 papers
High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization
Jiaxin Xie, Hao Ouyang, Jingtan Piao +2
We present a high-fidelity 3D generative adversarial network (GAN) inversion framework that can synthesize photo-realistic novel views while preserving specific details of the inpu…
Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
Wei Cheng, Su Xu, Jingtan Piao +4
This work targets at using a general deep learning framework to synthesize free-viewpoint images of arbitrary human performers, only requiring a sparse number of camera views as in…
Simulating Fluids in Real-World Still Images
Siming Fan, Jingtan Piao, Chen Qian +2
In this work, we tackle the problem of real-world fluid animation from a still image. The key of our system is a surface-based layered representation deriving from video decomposit…
Inverting Generative Adversarial Renderer for Face Reconstruction
Jingtan Piao, Keqiang Sun, KwanYee Lin +2
Given a monocular face image as input, 3D face geometry reconstruction aims to recover a corresponding 3D face mesh. Recently, both optimization-based and learning-based face recon…