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InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

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/home/zhangzhilong/tools/anaconda/envs/instantmesh/lib/python3.10/site-packages/torch/include/torch/csrc/profiler/util.h:34:10: 致命错误:x86intrin.h:No such file or directory 34 | #include | ^~~~~~~~~~~~~ 编译中断。 ninja: build stopped: subcommand failed.

请问在huggingface的demo上使用的哪个模型呢?我在A5000上使用instant-nerf-large进行推理,用时是huggingface上的两倍,而且生成质量不如huggingface的demo。

Thanks for your great work! I wonder how you select the range of elevations and azimuths when rendering the filtered objaverse. This may influence the performance of the trained model....

Hi @bluestyle97, I'm trying to train the model, but how do I set up the dataset, does the train.py download and preprocess the filtered objaverse dataset, or what do we...

我用24G的显存,报错了,是不是显存不够?

模型和代码文件欢迎发布到wisemodel.cn开源社区哦

感谢大佬的工作,这是我目前见到的最好的模型了。比triposr, openlrm, crm都要好很多,方法也很直截了当,先用mvd生成多视图,然后再接上transformer去猜triplane tokens,然后再接上flexicube组成一套differentiable的pipeline,直接去优化mesh。不过我实际infer的时候,发现mesh虽然学的不错,但是并没有很好的保留原有的纹理特征。请问可以在我的数据集上finetune解决这个问题吗?可以给一些指导意见吗? 感谢

执行python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video命令后 Loading pipeline components...: 0%| | 0/8 [00:00

执行python app.py后下载的文件放在哪里了,怎么删除啊,内存告急😅

I noticed that the texture quality of my output did not meet my expectations, especially when compared to the demo results which looked significantly better. Could you please help me...