Minghua Liu
16 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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Cross-Pollinator
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Century Club
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Conferences
CVPR (4)
NIPS (4)
ECCV (3)
ICCV (2)
AAAI (1)
CORL (1)
ICLR (1)
Top co-authors
Research topics
Keywords
3d reconstruction
(4)
diffusion model
(3)
zero-shot learning
(2)
3d point cloud
(2)
contrastive learning
(2)
signed distance function
(2)
point cloud
(2)
part segmentation
(2)
zero-shot classification
(2)
robotic manipulation
(1)
robot learning
(1)
out-of-distribution generalization
(1)
part detection
(1)
robot manipulation
(1)
few-shot learning
(1)
neural radiance field
(1)
multi-modal learning
(1)
vision-language model
(1)
knowledge distillation
(1)
generative model
(1)
Papers
PartField: Learning 3D Feature Fields for Part Segmentation and Beyond
ICCV 2025
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
ECCV 2024
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
CVPR 2024
MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model
NIPS 2024
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
ICLR 2024
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
CVPR 2023
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
NIPS 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
NIPS 2023
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
ICCV 2023
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
CORL 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
ECCV 2022
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates
CVPR 2021
Multi-task Batch Reinforcement Learning with Metric Learning
NIPS 2020
SAPIEN: A SimulAted Part-Based Interactive ENvironment
CVPR 2020
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
ECCV 2020
Morphing and Sampling Network for Dense Point Cloud Completion
AAAI 2020