DELTA
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yfeng95
Learning Disentangled Avatars with Hybrid 3D Representations. (Face, Body, Hair and Clothing)
When I install pytorch extension of tiny-cuda-nn,I encounter: FAILED: /home/yejr/Digital_Avater/DELTA-main/tiny-cuda-nn-master/bindings/torch/build/temp.linux-x86_64-cpython-39/tinycudann/bindings.o c++ -MMD -MF /home/yejr/Digital_Avater/DELTA-main/tiny-cuda-nn-master/bindings/torch/build/temp.linux-x86_64-cpython-39/tinycudann/bindings.o.d -pthread -B /media/data4/yejr/conda_env/delta/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /media/data4/yejr/conda_env/delta/include -I/media/data4/yejr/conda_env/delta/include -fPIC -O2 -isystem...
Thanks for the great work; how would you suggest performing expression transfer? do you have any insight on performance on this specific task compared to other models?
Hi authors, Thanks for the great work! I have a few questions: 1. I noticed the repo only has configs and data for face training. What about full body/body training?...
Hi, thank you for sharing your work. I have three questions about your model. The first question is how can I run the model to get both body with fully...
