Xiangyu Xu's homepage
xuxy09 / texformer Goto Github PK
View Code? Open in Web Editor NEW"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021 Oral
"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021 Oral
Xiangyu Xu's homepage
@xuxy09 I was wondering about the license of this project. Is it free to use commercially/not commercially?
Hello,
I can get the 2d rendered image like output result of example.
How can I get the 3D rendered object with texture of input image?
Thanks!
Hi, Can you please share the code that you used to obtain the colour encoding of the UV space. That is the code you used to generate UV_color_encoding.npy.
Make a colab version
Hello,
I was trying to render images from the front and the back while all joints are straight, just like Fig 6.
I thought I can generate them by playing the parameters of render function, like cam_t, but I could not find which values to set for these parameters.
Can you help me with that?
Thanks for sharing great repo!!
I wonder how to get UV map like in Fig 3.(e)
In demo.py
uvmap = self.get_texture(img_tensor, parts)
uvmap = self.get_texture(img_tensor, parts)
When I extracted uvmap by this code, the color of uv map is too strange.
Could you help me solve this process!
Really appreciated and Have a great day!
Downloading: "https://download.pytorch.org/models/resnet50-19c8e357.pth" to /root/.cache/torch/checkpoints/resnet50-19c8e357.pth
100% 97.8M/97.8M [00:00<00:00, 125MB/s]
Traceback (most recent call last):
File "demo.py", line 162, in
demo.run_demo(args)
File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 49, in decorate_no_grad
return func(*args, **kwargs)
File "demo.py", line 122, in run_demo
self.get_smpl(img_tensor)
File "demo.py", line 44, in get_smpl
pred_vertices, pred_cam_t, pred_rotmat, pred_betas = self.rsc_runner.get_3D_batch(img_tensor, scale, pre_process=True)
File "/content/f7b7c7758a46da49f84bc68b47997d69/Texformer/RSC_net/ra_test.py", line 34, in get_3D_batch
input_batch = self.pre_process_batch(input_batch)
File "/content/f7b7c7758a46da49f84bc68b47997d69/Texformer/RSC_net/ra_test.py", line 30, in pre_process_batch
return (batch - torch.tensor(self.IMG_NORM_MEAN).view(1, -1, 1, 1)) / torch.tensor(self.IMG_NORM_STD).view(1, -1, 1, 1)
RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
请问readme中的三维旋转动画是什么做的?
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