Aditya Sanghi
11 papers · 2020–2024 · 5 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 ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (55)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Computer Vision
(8)
Deep Learning
(8)
Machine Learning
(6)
Analysis
(6)
Artificial Intelligence
(4)
Architectures
(4)
Generation
(4)
Learning Types · Machine Learning
(4)
Models
(4)
Core AI
(3)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
graph neural network
(3)
cad model
(2)
zero-shot learning
(2)
few-shot learning
(2)
boundary representation
(2)
3d vision
(2)
3d shape generation
(1)
weak supervision
(1)
3d reconstruction
(1)
conditional generation
(1)
vision-language model
(1)
implicit representation
(1)
message passing
(1)
shape reconstruction
(1)
image segmentation
(1)
3d generation
(1)
latent space
(1)
point cloud
(1)
latent representation
(1)
diffusion model
(1)
Papers
Make-A-Shape: a Ten-Million-scale 3D Shape Model
ICML 2024
SLiMe: Segment Like Me
ICLR 2024
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language
CVPR 2023
CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly
CVPR 2022
CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation
CVPR 2022
JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints
CVPR 2022
UNIST: Unpaired Neural Implicit Shape Translation Network
CVPR 2022
BRepNet: A Topological Message Passing System for Solid Models
CVPR 2021
UV-Net: Learning From Boundary Representations
CVPR 2021
UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps
ICCV 2021
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
ECCV 2020