Comments (4)
Hi, @p0mad, your task is more similar to pose-guided video generation. For controllable image generation (including pose), ControlNet is quite hot recently (paper, code). You may be also interested in my previous WACV23 work (paper, code), which uses the pose sequence of a driving video and some subject frames to generate a new video.
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@nihaomiao
Thank you so much!
The youtube Dance dataset is not much accurate on hands! while hands are the most important of my project!
best regards
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@nihaomiao May i have your contact to talk about implementing an idea?
Telegram, skype or linkedin
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Hi, @p0mad, thanks a lot for your interest! But I am busy recently and may not have time to do so. I think there are lots of work about your task. It should not be hard for you to find one, e.g., this CVPR 2022 paper.
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Related Issues (20)
- RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
- Evaluation HOT 3
- ModuleNotFoundError: No module named 'huggingface_hub'
- torch.hub.load error HOT 2
- url of dataset and model HOT 1
- result in new people is bad HOT 1
- how to get the Depth、Interial、Skeleton when trianing the new person ? (MHAD) HOT 1
- demo_mug http error 403 (torch.hub.load) HOT 2
- doubts about the model name in the code HOT 1
- Why is the grid generated well in the demo file, but the grid generated in the train_video_flow_diffusion_mhad_multiGPU file is distorted? HOT 2
- FVD calculation HOT 2
- How do I run your code ? HOT 2
- How to obtain supplementary materials for the paper? HOT 1
- What do the "deformed" and "prediction" mean? HOT 2
- What do fake and real graphs refer to? HOT 1
- Inquiries about face occlusion map HOT 2
- demo_mug.py RuntimeError: CUDA out of memory. Tried to allocate 120.00 MiB V100 32G HOT 1
- dataset HOT 1
- Multi-GPUs training problem
- 'jitter' effect HOT 2
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