Zhizhong Han

VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction AAAI 2026 Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details AAAI 2026 VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians ICML 2025 Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions AAAI 2025 Query Quantized Neural SLAM AAAI 2025 Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation CVPR 2025 Sharpening Neural Implicit Functions with Frequency Consolidation Priors AAAI 2025 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 SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies ICCV 2025 Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors ECCV 2024 MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step 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 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 Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes ECCV 2024 Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping ICML 2023 Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection ICCV 2023 Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction ICCV 2023 Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching NIPS 2023 Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors NIPS 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 NeAF: Learning Neural Angle Fields for Point Normal Estimation AAAI 2023 NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function NIPS 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 Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words CVPR 2023 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 Surface Reconstruction From Point Clouds by Learning Predictive Context Priors CVPR 2022 Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds CVPR 2022 3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow CVPR 2022 Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors CVPR 2022 Latent Partition Implicit with Surface Codes for 3D Representation ECCV 2022 Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface ICML 2021 Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding CVPR 2021 PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths CVPR 2021 SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution With Skip-Transformer ICCV 2021 Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching ICCV 2021 Learning to Generate Dense Point Clouds With Textures on Multiple Categories WACV 2021 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 3D Shape Completion with Multi-View Consistent Inference AAAI 2020 SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization CVPR 2020 SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates ECCV 2020 Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences AAAI 2019 View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019 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 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NIPS 2019 Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network AAAI 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