We present TexMesh, a novel approach to reconstruct detailed human meshes
with high-resolution full-body texture from RGB-D video. TexMesh enables high
quality free-viewpoint rendering of humans. Given the RGB frames, the captured
environment map, and the coarse per-frame human mesh from RGB-D tracking, our
method reconstructs spatiotemporally consistent and detailed per-frame meshes
along with a high-resolution albedo texture. By using the incident illumination
we are able to accurately estimate local surface geometry and albedo, which
allows us to further use photometric constraints to adapt a synthetically
trained model to real-world sequences in a self-supervised manner for detailed
surface geometry and high-resolution texture estimation. In practice, we train
our models on a short example sequence for self-adaptation and the model runs
at interactive framerate afterwards. We validate TexMesh on synthetic and
real-world data, and show it outperforms the state of art quantitatively and
qualitatively.

TexMesh 是一种利用 RGB-D 视频重建详细的人体网格及高分辨率全身纹理，实现高质量自由视角呈现的新方法。