EnVision-Research / LucidDreamer

Official implementation of "LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching"
MIT License
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Issue with the target term of ISM gradient #44

Open yjhboy opened 1 month ago

yjhboy commented 1 month ago

Thank you for your outstanding contributions, and I wonder if the target term for this line (https://github.com/EnVision-Research/LucidDreamer/blob/2ecf0936617103107e4b20c34e94d204196f7a44/guidance/sd_utils.py#L279) should theoretically be equal to unconditional unet output (pred_noise) of xt, ie., (\epsilon\phi(x_t,t,\emptyset)) ? Rather than be xs in the paper, ie., \epsilon\phi(x_s,s,\emptyset) ?