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Chen-Hsuan Lin
Chen-Hsuan Lin
NVIDIA Research
Dirección de correo verificada de nvidia.com - Página principal
Título
Citado por
Citado por
Año
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
CH Lin, C Kong, S Lucey
AAAI Conference on Artificial Intelligence (AAAI), 2018, 2018
3872018
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
CH Lin, E Yumer, O Wang, E Shechtman, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 2018
3302018
BARF: Bundle-Adjusting Neural Radiance Fields
CH Lin, WC Ma, A Torralba, S Lucey
IEEE International Conference on Computer Vision (ICCV), 2021, 2021
3132021
Inverse Compositional Spatial Transformer Networks
CH Lin, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
1682017
Magic3D: High-Resolution Text-to-3D Content Creation
CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023
1632023
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
CH Lin, O Wang, BC Russell, E Shechtman, VG Kim, M Fisher, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019
692019
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
CH Lin, C Wang, S Lucey
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
662020
Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image
C Kong, CH Lin, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
642017
Image Composites using a Generative Adversarial Neural Network
E Shechtman, O Wang, M Yumer, CH Lin
US Patent 10,719,742, 2020
562020
Deep-LK for Efficient Adaptive Object Tracking
C Wang, HK Galoogahi, CH Lin, S Lucey
IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018
462018
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild
C Wang, CH Lin, S Lucey
IEEE International Conference on 3D Vision (3DV), 2020, 2020
24*2020
The Conditional Lucas & Kanade Algorithm
CH Lin, R Zhu, S Lucey
European Conference on Computer Vision (ECCV), 2016, 2016
202016
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
R Zhu, C Wang, CH Lin, Z Wang, S Lucey
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, 2018
192018
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Z Li, T Müller, A Evans, RH Taylor, M Unberath, MY Liu, CH Lin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023
142023
3D Object Reconstruction using Photometric Mesh Representation
O Wang, V Kim, M Fisher, E Shechtman, CH Lin, B Russell
US Patent 10,769,848, 2020
92020
Semantic Photometric Bundle Adjustment on Natural Sequences
R Zhu, C Wang, CH Lin, Z Wang, S Lucey
arXiv preprint arXiv:1712.00110, 2017
42017
10-701 Machine Learning Final Project Report: Video Summarization via Deep Convolutional Networks
CH Lin, WC Ma, SE Wei
The Robotics Institute, Carnegie Mellon University, 2015
1*2015
SIGGRAPH 2023 Course on Diffusion Models
C Meng, J Song, S Li, JY Zhu, S Ermon, TY Lin, CH Lin, K Kreis
ACM SIGGRAPH 2023 Courses, 1-113, 2023
2023
ATT3D: Amortized Text-to-3D Object Synthesis
J Lorraine, K Xie, X Zeng, CH Lin, T Takikawa, N Sharp, TY Lin, MY Liu, ...
arXiv preprint arXiv:2306.07349, 2023
2023
Learning 3D Registration and Reconstruction from the Visual World
CH Lin
Carnegie Mellon University, 0
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Artículos 1–20