I am certainly not smarter than you, especially in the context of LLMs and DL. I think existing DL models would have a tough time with such interpolation becaus

I am certainly not smarter than you, especially in the context of LLMs and DL. I think existing DL models would have a tough time with such interpolation because 1) they don't seem to understand human anatomy, and 2) the space of all possible transitions is massive. I remember reading about human pose estimation algorithms[0], which would be a good first step. You could apply them to photos that you would like to interpolate between. I am not sure how you would train the interpolation model, though. Perhaps you could use OpenSim Models [1] in combination with reinforcement learning [2]? There is also some literature on pose forecasting [3, 4]. 0. Deep Learning-Based Human Pose Estimation: A Survey: https://github.com/zczcwh/DL-HPE https://github.com/zczcwh/DL-HPE 1. OpenSim: https://simtk.org/projects/opensim/ https://simtk.org/projects/opensim/ 2. BioImitation-Gym: http://umishra.me/bioimitation-gym/ http://umishra.me/bioimitation-gym/ 3. Human Pose Forecasting: https://paperswithcode.com/task/human-pose-forecasting https://paperswithcode.com/task/human-pose-forecasting 4. PoseGPT (name of the year!): https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136660409.pdf https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136...