← Authors

Yu-Shen Liu

60 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (53) πŸ”¬ Deep Specialist (44) πŸ† Keyword Champion (4) πŸ† Grand Slam 🀝 Dynamic Duo (48) πŸ’Ž Century Club (59) πŸ—ƒοΈ Keyword Collector (210) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (14) πŸš€ Conference Pioneer

Conferences

CVPR (17) AAAI (12) NIPS (11) ICCV (9) ECCV (5) ICML (3) IJCAI (2) ICLR (1)

Top co-authors

Zhizhong Han (49) Junsheng Zhou (16) Baorui Ma (13) Matthias Zwicker (11) Chao Chen (10) Xin Wen (8) Kanle Shi (8) Wenyuan Zhang (7) Yi Fang (7) Ming Gu (6)

Keywords

point cloud (23) surface reconstruction (22) neural network (11) 3d reconstruction (11) 3d vision (11) signed distance function (10) depth estimation (6) gaussian splatting (5) attention mechanism (5) normal estimation (5) sparse view (5) point cloud completion (4) shape representation (4) 3d shape generation (4) neural rendering (4) unsigned distance field (4) feature learning (3) 3d gaussian splatting (3) 3d shape analysis (3) multi-view learning (3)

Papers

VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction AAAI 2026
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction CVPR 2025
NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction CVPR 2025
GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting CVPR 2025
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation CVPR 2025
SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies ICCV 2025
Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering ICCV 2025
GAP: Gaussianize Any Point Clouds with Text Guidance ICCV 2025
Sharpening Neural Implicit Functions with Frequency Consolidation Priors AAAI 2025
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency AAAI 2025
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views AAAI 2025
Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors ECCV 2024
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes ECCV 2024
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds ECCV 2024
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step NIPS 2024
Uni3D: Exploring Unified 3D Representation at Scale ICLR 2024
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views AAAI 2024
GridFormer: Point-Grid Transformer for Surface Reconstruction AAAI 2024
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling AAAI 2024
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion CVPR 2024
DiffGS: Functional Gaussian Splatting Diffusion NIPS 2024
Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly NIPS 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NIPS 2024
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis NIPS 2024
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set NIPS 2024
Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting CVPR 2023
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching NIPS 2023
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function NIPS 2023
KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion AAAI 2023
NeAF: Learning Neural Angle Fields for Point Normal Estimation AAAI 2023
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment CVPR 2023
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds CVPR 2023
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes CVPR 2023
Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors CVPR 2023
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds ICCV 2023
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation ICCV 2023
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection ICCV 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping ICML 2023
Surface Reconstruction From Point Clouds by Learning Predictive Context Priors CVPR 2022
Latent Partition Implicit with Surface Codes for 3D Representation ECCV 2022
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces NIPS 2022
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds NIPS 2022
Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors CVPR 2022
3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow CVPR 2022
Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds CVPR 2022
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching ICCV 2021
Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding CVPR 2021
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution With Skip-Transformer ICCV 2021
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface ICML 2021
PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths CVPR 2021
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates ECCV 2020
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images ICML 2020
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding CVPR 2020
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction ICCV 2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention IJCAI 2019
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views IJCAI 2019
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network AAAI 2019
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences AAAI 2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NIPS 2019