Thu Nguyen-Phuoc

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Unsupervised Learning

Convolutional Network

Top Venues

Publications

Yu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao, Thu Nguyen-Phuoc, Numair Khan, Cheng Zhang, Manmohan Chandraker, Carl S. Marshall, Zhao Dong, Zhengqin Li
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion. CoRR (2024)
Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie, Zhengqin Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao
ReplaceAnything3D: Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields. CoRR (2024)
Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc, Aljaz Bozic, Zhao Dong, Carl S. Marshall, Tobias Ritschel
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs. CoRR (2024)
Juan C. Pérez, Thu Nguyen-Phuoc, Chen Cao, Artsiom Sanakoyeu, Tomas Simon, Pablo Arbeláez, Bernard Ghanem, Ali K. Thabet, Albert Pumarola
StyleAvatar: Stylizing Animatable Head Avatars. WACV (2024)
Yiqing Liang, Numair Khan, Zhengqin Li, Thu Nguyen-Phuoc, Douglas Lanman, James Tompkin, Lei Xiao
GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis. CoRR (2023)
Thu Nguyen-Phuoc, Gabriel Schwartz, Yuting Ye, Stephen Lombardi, Lei Xiao
AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptation. CoRR (2023)
Thu Nguyen-Phuoc, Feng Liu, Lei Xiao
SNeRF: Stylized Neural Implicit Representations for 3D Scenes. CoRR (2022)
Kai Arulkumaran, Thu Nguyen-Phuoc
Minimal criterion artist collective. GECCO Companion (2022)
Thu Nguyen-Phuoc, Feng Liu, Lei Xiao
SNeRF: stylized neural implicit representations for 3D scenes. ACM Trans. Graph. 41 (4) (2022)
Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
Self-Supervised Object Detection via Generative Image Synthesis. CoRR (2021)
Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
Self-Supervised Object Detection via Generative Image Synthesis. ICCV (2021)
Thu Nguyen-Phuoc, Christian Richardt, Long Mai, Yong-Liang Yang, Niloy J. Mitra
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images. NeurIPS (2020)
Thu Nguyen-Phuoc, Christian Richardt, Long Mai, Yong-Liang Yang, Niloy J. Mitra
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images. CoRR (2020)
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang
HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. ICCV (2019)
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang
HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. ICCV Workshops (2019)
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang
HoloGAN: Unsupervised learning of 3D representations from natural images. CoRR (2019)
Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban, Yong-Liang Yang
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes. NeurIPS (2018)
Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban, Yong-Liang Yang
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes. CoRR (2018)