Comments (5)
Hi, using color map to initialize NeRF brings unnecessary color priors, e.g. white foreground. We tend to initialize NeRF's geometry without introducing appearance preferences.
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Thank you so much for the threestudio implementation of DreamWaltz! We really appreciate it.
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Well, got it. Btw, I'm honored to implement such a good avatar generation work as an extension of threestudio.
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During the implementation process, it was discovered that when your code exported the mesh, depth, and pose maps of SMPL, the rendered mesh were inconsistent with the other two forms in the same camera input, as shown in the figure below.
Could you please let me submit a pull request to resolve this issue?
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Sure! Thanks for the bug report and please feel free to submit a pull request.
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Related Issues (11)
- When will the code be released? HOT 1
- Training Time HOT 1
- Where do I get the pretrained ControlNet? HOT 2
- Supporting multiple GPU running? HOT 1
- how to get 512 resolution results and how to extract mesh Thanks HOT 1
- Program stuck HOT 1
- Given a particular SMPL pose and a camera location, can I get the 2d projection of it like openpose figures ? HOT 1
- Could I just use DreamWaltz weights to infer, without training steps in the readme? HOT 1
- [misc] support High-Resolution Canonical Avatars && image-to-avatars HOT 2
- [bug] Train a personalized SD1.5 model by DreamBooth Lora. Execute stage 1, but there is no personalized effect
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