Baorui Ma

papers

628

total citations

papers (11)

Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment

CVPR 2023arXiv

citations

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale

CVPR 2025arXiv

citations

Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection

ICCV 2023arXiv

citations

Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

NEURIPS 2023arXiv

citations

Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling

AAAI 2024arXiv

citations

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

CVPR 2024arXiv

citations

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction

CVPR 2025arXiv

citations

Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds

NEURIPS 2022

citations

Baorui Ma

papers (11)

Uni3D: Exploring Unified 3D Representation at Scale

Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors

Surface Reconstruction From Point Clouds by Learning Predictive Context Priors

Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale

Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection

Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction

Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds

papers (11)

Uni3D: Exploring Unified 3D Representation at Scale

Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors

Surface Reconstruction From Point Clouds by Learning Predictive Context Priors

Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale

Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection

Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction

Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds