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| import torch |
| import xatlas |
| import numpy as np |
| import nvdiffrast.torch as dr |
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| def interpolate(attr, rast, attr_idx, rast_db=None): |
| return dr.interpolate(attr.contiguous(), rast, attr_idx, rast_db=rast_db, diff_attrs=None if rast_db is None else 'all') |
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| def xatlas_uvmap(ctx, mesh_v, mesh_pos_idx, resolution): |
| vmapping, indices, uvs = xatlas.parametrize(mesh_v.detach().cpu().numpy(), mesh_pos_idx.detach().cpu().numpy()) |
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| indices_int64 = indices.astype(np.uint64, casting='same_kind').view(int) |
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| uvs = torch.tensor(uvs, dtype=torch.float32, device=mesh_v.device) |
| mesh_tex_idx = torch.tensor(indices_int64, dtype=torch.int64, device=mesh_v.device) |
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| uv_clip = uvs[None, ...] * 2.0 - 1.0 |
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| uv_clip4 = torch.cat((uv_clip, torch.zeros_like(uv_clip[..., 0:1]), torch.ones_like(uv_clip[..., 0:1])), dim=-1) |
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| rast, _ = dr.rasterize(ctx, uv_clip4, mesh_tex_idx.int(), (resolution, resolution)) |
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| gb_pos, _ = interpolate(mesh_v[None, ...], rast, mesh_pos_idx.int()) |
| mask = rast[..., 3:4] > 0 |
| return uvs, mesh_tex_idx, gb_pos, mask |
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