remove outlier removal

lib/net/HGPIFuNet.py

@@ -293,14 +293,8 @@ class HGPIFuNet(BasePIFuNet):
             # smpl_cmap [B, N, 3]
             # smpl_vis [B, N, 1]
 
-            # set ourlier point features as uniform values
-            smpl_outlier = torch.abs(smpl_sdf).ge(self.sdf_clip)
-            smpl_sdf[smpl_outlier] = torch.sign(smpl_sdf[smpl_outlier])
-
             feat_lst = [smpl_sdf]
             if 'cmap' in self.smpl_feats:
-                smpl_cmap[smpl_outlier.repeat(
-                    1, 1, 3)] = smpl_sdf[smpl_outlier].repeat(1, 1, 3)
                 feat_lst.append(smpl_cmap)
             if 'norm' in self.smpl_feats:
                 feat_lst.append(smpl_norm)