Zhen Xu dendenxu
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dendenxu
/ dllmain.cpp
Created
August 6, 2025 10:44
— forked from aidnzz/dllmain.cpp
Injecting raw input into roblox
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| #define NOMINMAX | |
| #include <mutex> | |
| #include <string_view> | |
| #include <windows.h> | |
| #include "minhook.h" | |
| #pragma comment(lib, "libminhook-x86") |
dendenxu
/ benchmark_torch_loop_subdivision.py
Created
October 8, 2022 14:50
Differentiable pytorch implementation of A Halfedge Refinement Rule for Parallel Loop Subdivision: http://kenneth.vanhoey.free.fr/index.php?page=research&lang=en#VD22, the original paper uses OpenGL and OpenMP, we provide a pytorch implementation of half-edge and triangle conversion, parallel loop subdivision algorithm (with considerations for e…
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| # NOTE: THIS WON'T RUN, PLZ IMPLEMENT YOUR OWN load_mesh AND export_mesh, THEN CHANGE IMPORTS ACCORDINGLY | |
| import time | |
| import torch | |
| from tqdm import tqdm | |
| # fmt: off | |
| import sys | |
| sys.path.append('.') |
dendenxu
/ fast_small_matrix_inverse.py
Last active
October 8, 2022 14:42
Faster pytorch inverse of small matrices (batched) than torch.inverse (which sometimes uses CPU and does not batch properly), with some decomposition methods, added a faster version
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| import torch | |
| def torch_inverse_2x2(A: torch.Tensor, eps=torch.finfo(torch.float).eps): | |
| B = torch.zeros_like(A) | |
| # for readability | |
| a = A[..., 0, 0] | |
| b = A[..., 0, 1] | |
| c = A[..., 1, 0] | |
| d = A[..., 1, 1] | |
| # slightly slower but save 20% of space (??) by |
dendenxu
/ moller_trumbore_winding_number_inside_mesh.py
Last active
October 25, 2024 12:58
Hierarchical Winding Distance Remesh -> implemented a winding distance field and hierarchical formulation -> Batched `pytorch` implementation of the Moller Trumbore algorithm (ray-stabbing) & Generalized Winding Number for determining points inside mesh: https://www.cs.utah.edu/~ladislav/jacobson13robust/jacobson13robust.html
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| import torch | |
| import mcubes | |
| import trimesh | |
| import numpy as np | |
| from pytorch3d.ops.knn import knn_points | |
| from tqdm import tqdm | |
| from functools import reduce | |
| from torch_scatter import scatter | |
| from pytorch3d.structures import Meshes | |
| from typing import Callable, Tuple, Union |