Comments (6)
Do respect to the researcher. Be proud of the researcher from your country.
Also, the code, which you can run easily, mostly does not allow to use commercially and share in this field.
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From my experience with NeRFs, I don't think they are suited for being trained with a CPU. It's highly parallel and the training already takes a while, unless you have multiple high end GPUs.
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I mean to run demo with CPU, not training
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Wouldn't that still involve rendering the output? The rendering takes 20-30 seconds per frame on my GPU (GTX 1070). If you did this on a CPU, it would take forever.
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What size of GPU are you using
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What size of GPU are you using
I'm using a single RTX 3090. For inference time with different devices please refer to #8.
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Related Issues (20)
- 请问data_util/face_tracking下的代码是来自哪里呢?
- 已创建中文的讨论组想加入的请添加微信xaaheng
- Tool(s) to adjust or replace the default head mesh (missing?)
- KeyError: "The name 'deepspeech/logits:0' refers to a Tensor which does not exist. The operation, 'deepspeech/logits', does not exist in the graph." HOT 1
- ValueError: Got non-broadcastable sizes [1, 1, 1, 1, 0, 0], c = tensor([], device='cuda:0', size=(0, 3, 3)) HOT 1
- RTX3060 合成一帧要 24 秒,合成 300 帧需要 2 小时,这正常吗 HOT 2
- Basel Face Model substitute HOT 1
- replacing the deepspeech code HOT 1
- Training loss and PSNR unstable , test output only background?
- 已创建生成逼真的数字人讨论组,需要交流的请加我微信 wav2lip
- wav2Vec instead of deepspeech since deepspeech no longer maintained?
- How corp the images from videos
- step 2, error HOT 1
- Do I just have to run the torsoNeRF for the test for rendering? HOT 3
- 2023-09-17 21:17:40.944285: E tensorflow/stream_executor/cuda/cuda_blas.cc:428] failed to run cuBLAS routine: CUBLAS_STATUS_EXECUTION_FAILED
- 输出视频 HOT 3
- Does someone knows why the confidence I measured for lipsync is only 0.something?
- 关于deepspeech_fps = 50和video_fps = 50的问题
- 卡在了处理数据上,请问有处理好数据吗
- Train/test protocol
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