Yu-Shen Liu
Associate Professor
Works on 3D computer vision, 3D deep learning, point-cloud understanding, and digital geometry processing.
Yu-Shen Liu's lab at Tsinghua works on 3D vision & neural rendering. 73 papers since 2023, 2 at top venues, mostly SIGGRAPH and SIGGRAPH Asia. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 3%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 16 papers2026 · T1 1 · collecting
- 14 papers2025 · T1 0
- 20 papers2024 · T1 0
- 23 papers2023 · T1 1
T1 venuesOtherVenues: SIGGRAPH, SIGGRAPH Asia
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering29 papers
- geometry2 papers
- digital1 paper
- geometry processing0 papers
- software0 papers
Paper list
From the lab homepage.
202616 papers
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), : 26041-26051.3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction
- Neural Information Processing Systems (NeurIPS), .3D Gaussian Splatting within Self-Learned Neural View-Dependent Color Fields
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), : 11829-11839.4C4D: 4 Camera 4D Gaussian Splatting
- Neural Information Processing Systems (NeurIPS), .AEON: Unifying Video and 3D World Models
- European Conference on Computer Vision (ECCV), : 528-546.City-Level 3D Surface Reconstruction with Viewpoint Orientation Partitioning and Scene Completion
- Neural Information Processing Systems (NeurIPS), .GAMMA: Scalable 4D Gaussian Reconstruction Model for Novel View Synthesis of Monocular Videos
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), : 18968-18979.GaussianGrow: Geometry-aware Gaussian Growing from 3D Point Clouds with Text Guidance
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), , 48(1): 109-126.I-Filtering: Implicit Filtering for Learning Neural Distance Functions from 3D Point Clouds
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), : 28914-28924.MoRe: Motion-aware Feed-forward 4D Reconstruction Transformer
- IEEE Transactions on Visualization and Computer Graphics (TVCG), , 32(2): 1713-1728.PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation
- European Conference on Computer Vision (ECCV), : 491-511.Sparse-View Surface Reconstruction using Gaussian Splatting through High-Confidence Depth Propagation with Normal Priors
- Neural Information Processing Systems (NeurIPS), .TESLA: Native 4D Gaussian Splatting Generation with Temporally Structured Latents
202514 papers
- The Annual AAAI Conference on Artificial Intelligence (AAAI), .FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency
- Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), : 25627-25638.GAP: Gaussianize Any Point Clouds with Text Guidance
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
- Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), : 28828-28838.Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering
- Neural Information Processing Systems (NeurIPS), , 38: 89896-89917.MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), , 47(1): 565-582.NeuralTPS: Learning Signed Distance Functions without Priors from Single Sparse Point Clouds
- The Annual AAAI Conference on Artificial Intelligence (AAAI), .Sharpening Neural Implicit Functions with Frequency Consolidation Priors
- The Annual AAAI Conference on Artificial Intelligence (AAAI), .Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
- Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), : 28514-28524.SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies
202420 papers
- IEEE International Conference on Robotics and Automation (ICRA), .3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
- Neural Information Processing Systems (NeurIPS), .Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), , 46(12): 7475-7492.CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization
- Neural Information Processing Systems (NeurIPS), .DiffGS: Functional Gaussian Splatting Diffusion
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), , 46(12): 8936-8953.Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
- AAAI Conference on Artificial Intelligence (AAAI)GridFormer: Point-Grid Transformer for Surface Reconstruction
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), , accepted.Hypergraph-Based Multi-Modal Representation for Open-Set 3D Object Retrieval
- European Conference on Computer Vision (ECCV), .Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
- ACM Multimedia (ACM MM), .Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images
- Neural Information Processing Systems (NeurIPS), .Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
- AAAI Conference on Artificial Intelligence (AAAI)Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
- European Conference on Computer Vision (ECCV), .Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
202323 papers
- IEEE Transactions on Multimedia (TMM), | Journal article DOI: 10.1109/TMM. .3265177.3D Shape Contrastive Representation Learning with Adversarial Examples
- Computer Aided Geometric Design (CAGD), ,104:102206.D-Net: Learning for Distinctive Point Clouds by Self-attentive Point Searching and Learnable Feature Fusion
- Neural Information Processing Systems (NeurIPS), .Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
- IEEE Transactions on Image Processing (TIP), , 32: 2703-2718.Fast Learning Radiance Fields by Shooting Much Fewer Rays
- Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds
- AAAI Conference on Artificial Intelligence (AAAI), .KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion
- Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
- International Conference on Machine Learning (ICML), .Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)LP-DIF: Learning Local Pattern-specific Deep Implicit Function for 3D Objects and Scenes
- Advanced Engineering Informatics, , 57 (102099): 1-14.Modeling and validating temporal rules with semantic Petri net for digital twins
- Advanced Engineering Informatics, , 58 (102132): 1-14.MVDLite: A fast validation algorithm for Model View Definition rules
- AAAI Conference on Artificial Intelligence (AAAI), .NeAF: Learning Neural Angle Fields for Point Normal Estimation
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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