Picture for Baorui Ma

Baorui Ma

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

Add code
Apr 10, 2024
Figure 1 for UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
Figure 2 for UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
Figure 3 for UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
Figure 4 for UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
Viaarxiv icon

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

Add code
Dec 23, 2023
Viaarxiv icon

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

Add code
Dec 07, 2023
Viaarxiv icon

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation

Add code
Dec 01, 2023
Viaarxiv icon

Uni3D: Exploring Unified 3D Representation at Scale

Add code
Oct 10, 2023
Figure 1 for Uni3D: Exploring Unified 3D Representation at Scale
Figure 2 for Uni3D: Exploring Unified 3D Representation at Scale
Figure 3 for Uni3D: Exploring Unified 3D Representation at Scale
Figure 4 for Uni3D: Exploring Unified 3D Representation at Scale
Viaarxiv icon

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

Add code
Aug 22, 2023
Figure 1 for Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Figure 2 for Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Figure 3 for Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Figure 4 for Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Viaarxiv icon

Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping

Add code
Jun 02, 2023
Figure 1 for Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Figure 2 for Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Figure 3 for Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Figure 4 for Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Viaarxiv icon

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

Add code
May 19, 2023
Figure 1 for Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
Figure 2 for Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
Figure 3 for Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
Figure 4 for Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
Viaarxiv icon

NeAF: Learning Neural Angle Fields for Point Normal Estimation

Add code
Nov 30, 2022
Figure 1 for NeAF: Learning Neural Angle Fields for Point Normal Estimation
Figure 2 for NeAF: Learning Neural Angle Fields for Point Normal Estimation
Figure 3 for NeAF: Learning Neural Angle Fields for Point Normal Estimation
Figure 4 for NeAF: Learning Neural Angle Fields for Point Normal Estimation
Viaarxiv icon

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

Add code
Oct 08, 2022
Figure 1 for Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Figure 2 for Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Figure 3 for Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Figure 4 for Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Viaarxiv icon