Person
Siyuan Li
This person is no longer with EPFL
Related publications (5)
OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs
We present a new method for generating realistic and view-consistent images with fine geometry from 2D image collections. Our method proposes a hybrid explicitimplicit representation called OrthoPlanes, which encodes fine-grained 3D information in feature ...
Ieee Computer Soc20233DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping
We present 3DHumanGAN, a 3D-aware generative adversarial network that synthesizes photo-like images of fullbody humans with consistent appearances under different view-angles and body-poses. To tackle the representational and computational challenges in sy ...
Ieee Computer Soc2023A Shared Representation for Photorealistic Driving Simulators
Alexandre Massoud Alahi, Saeed Saadatnejad, Taylor Ferdinand Mordan, Siyuan Li
A powerful simulator highly decreases the need for real-world tests when training and evaluating autonomous vehicles. Data-driven simulators flourished with the recent advancement of conditional Generative Adversarial Networks (cGANs), providing high-fidel ...
2021Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Pascal Fua, Pavan P Ramdya, Helge Jochen Rhodin, Semih Günel, Siyuan Li, Mirela Ostrek
Our goal is to capture the pose of neuroscience model organisms, without using any manual supervision, to be able to study how neural circuits orchestrate behaviour. Human pose estimation attains remarkable accuracy when trained on real or simulated datase ...
2020