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Nanyang Technological University
- Singapore
- https://xubaixinxbx.github.io/
Stars
The collection of awesome papers on alignment of diffusion models.
Code for "Diffusion Model Alignment Using Direct Preference Optimization"
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
Blender add-on for editing scenes reconstructed with SuGaR or Gaussian Frosting.
[NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]
[CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
[CVPR 2024] PIE-NeRF🍕: Physics-based Interactive Elastodynamics with NeRF
Codes and dataset for paper "IF-TONIR: Iteration-free Topology Optimization based on Implicit Neural Representations"
Code release for "3D reconstruction with fast dipole sums"
[NeurIPS 2023] Code for "Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives"
Pytorch Implementation of https://github.com/shubhtuls/volumetricPrimitives
Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)
[ECCV 2024] SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction
[ECCV'24]Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering
[ICCV 2023] Code for "Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings"
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Implementation of the SIGGRAPH 2024 conference paper "High-quality Surface Reconstruction using Gaussian Surfels".
A curated list of resources for using LLMs to develop more competitive grant applications.
[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction