Stars
[CVPR'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
[AAAI'25 Oral] FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency
Three.js-based implementation of 3D Gaussian splatting
[NeurIPS'23] Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
[CVPR'25 Highlight] You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
[ICRA'2024]: 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
[NeurIPS 2024] Binocular3DGS: Binocular-Guided 3D Gaussian Splatting with ViewConsistency for Sparse View Synthesis
[NeurIPS'2024]: DiffGS: Functional Gaussian Splatting Diffusion
[NeurlPS'2024] MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
[NeurIPS'2024] Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
[NeurIPS'2024] Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
The code for "NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering (CVPR 2023)"
Repo for the CVPR 2024 paper: "DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling"
[ECCV'2024] Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes