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it should be trivial for users to run a second-pass over the frames they just generated. k*N passes over the sequence of X/(k*N) steps per frame might even give a...

enhancement
config
low LOE

* concrete use case: applying special effects to video that is accompanied by photogrammetric measurements * experimental use case: applying a depth field as a guiding prior (e.g. weighted weakly,...

enhancement
config

* [x] eliminated superflous TargetImage constructor * [ ] cleanup debugging statements * [ ] wherever possible, init tensors on devices instead of transferring

for my audio animation experiments, and i think also as a general purpose tool for animations that evolve, the current config syntax doesn't work very well: - scenes are of...

enhancement
config

https://github.com/cheind/pytorch-blender stream from blender rendering into pytti's input stream ... more broadly, I wonder what it'd take to make it so you could just pipe input into pytti? like `ffmpeg...

help wanted
Experiment

we only get learning rate. I want to give user ability to change the underlying optimizer. doesn't always have to be adamW, and I want to know if different optimizers...

enhancement
config
low LOE

presumably we're already computing depth for the 3D warps: we should get the loss for free. I suspect we are unnecessarily re-estimating depth here

Experiment

We had discussed at one point adding depth map export as an option, so people could use them for blender animation and such

enhancement
good first issue
low LOE

I think it would be helpful to add the model sizes next to the models, so that we could know how big each is while selecting and get a better...

documentation