Ying-Tian Liu
6 papers · 2023–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Computer Vision
(6)
Deep Learning
(6)
Generation
(4)
Computer Science
(3)
Applications
(3)
Architectures
(3)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Machine Learning
(2)
Analysis
(2)
Models
(2)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Keywords
unsupervised learning
(1)
3d shape generation
(1)
self-supervised learning
(1)
monocular depth estimation
(1)
progressive learning
(1)
image representation
(1)
neural representation
(1)
implicit neural representation
(1)
generative model
(1)
diffusion model
(1)
3d generation
(1)
signed distance field
(1)
text-to-3d generation
(1)
score distillation sampling
(1)
text-to-image diffusion
(1)
adapter tuning
(1)
mesh reconstruction
(1)
progressive training
(1)
latent diffusion model
(1)
point cloud processing
(1)
Papers
FACE: A Face-based Autoregressive Representation for High-Fidelity and Efficient Mesh Generation
CVPR 2026
NeuFrameQ: Neural Frame Fields for Scalable and Generalizable Anisotropic Quadrangulation
ICCV 2025
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion
CVPR 2024
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
AAAI 2024
DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation
CVPR 2023
Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts
ICCV 2023