Comments (4)
Dustinpro
commented on May 27, 2024
Thanks! We just released One-2-3-45++, which uses Zero123++ as the multiview generation module. You can find the interactive demo at https://www.sudo.ai/3dgen, where you can get a mesh from a single image or a text prompt.
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wqdong8
commented on May 27, 2024
Thank you for your reply. I have tried the SUDO-ai Image-to-3D, but the generated mesh seems to have some artifacts, for example, holes. Is there any way to solve it?
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Dustinpro
commented on May 27, 2024
It is a stochastic process, so giving it another try may result in a better mesh.
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wqdong8
commented on May 27, 2024
Wow, thanks !
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Related Issues (20)
- Questions of camera settings when rendering the Objaverse dataset HOT 2
- About the scheduler HOT 1
- Not generating input image's colors when depth maps passed HOT 2
- Increasing the image size in the diffuser pipeline causes the output image to collapse HOT 1
- Discussion/question: What to do with the generated images ? (texturing 3d models) HOT 1
- Depth conditioning is not working HOT 5
- Reference Only Local Conditioning Clarification HOT 1
- Objaverse Dataloader: Seeking Input/Output Details for Fine-tuning HOT 1
- Training details HOT 5
- v-prediction HOT 3
- How can I change the camera pose and the size of the image? HOT 2
- question about forward_cond HOT 2
- Some questions regarding the input and output latent scaling HOT 1
- getting normals/depth HOT 3
- Question about ReferenceOnlyAttnProc HOT 1
- Is there an approach to remove the gray background purely? HOT 4
- camera pose HOT 1
- scaling about reference attention HOT 2
- training data HOT 1
- camera FOV HOT 1
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