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Toolbox for the TanksAndTemples benchmark website
3DGS Render by KIRI Engine
[CVPR 23'] GeoMVSNet: Learning Multi-View Stereo with Geometry Perception
Code, dataset and models for our CVPR 2022 publication "Text2Pos"
Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"
Pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021).
[ECCV 2022] Meta-Sampler: Almost Universal yet Task-Oriented Sampling for Point Clouds
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
Official PyTorch implementation of SegFormer
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Cuda implementation for gridsample with second derivative support
StyleGAN2-ADA - Official PyTorch implementation
ShadowDiffusion (CVPR2023), Pytorch implementation
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Implementation for Curriculum DeepSDF