Nicholas Sharp
7 papers · 2020–2026 · 4 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Computer Science
(3)
Computer Vision
(3)
Deep Learning
(3)
Applications · Computer Science
(3)
Artificial Intelligence
(2)
Machine Learning
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Core AI
(2)
Robotics
(1)
Applications · Robotics
(1)
Architectures
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
contrastive learning
(1)
self-supervised learning
(1)
gaussian splatting
(1)
neural rendering
(1)
texture synthesis
(1)
hierarchical decomposition
(1)
generative model
(1)
optimization algorithm
(1)
adam optimizer
(1)
3d generation
(1)
neural radiance field
(1)
latent diffusion model
(1)
text-guided generation
(1)
knowledge sharing
(1)
part segmentation
(1)
collision detection
(1)
amortized optimization
(1)
rotation equivariance
(1)
3d shape
(1)
3d modeling
(1)
Papers
FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
CVPR 2026
Learning Convex Decomposition via Feature Fields
CVPR 2026
PartField: Learning 3D Feature Fields for Part Segmentation and Beyond
ICCV 2025
ATT3D: Amortized Text-to-3D Object Synthesis
ICCV 2023
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
ICCV 2023
VectorAdam for Rotation Equivariant Geometry Optimization
NeurIPS 2022
PointTriNet: Learned Triangulation of 3D Point Sets
ECCV 2020