We introduce HDEdit, a training-free framework for instruction-guided video and 3D scene editing that resolves the fundamental tension between instruction fulfillment and original content preservation through Hierarchical task Decomposition. Our key insight is to progressively decompose complex edits into simpler subtasks. This hierarchical strategy aligns with dual objectives: an LLM-guided planner structures high-level subgoals for reliable instruction fulfillment, while embedding-space interpolation further refines each subgoal to preserve unedited content. Two tailored control mechanisms – word-level attention map propagation and parallel denoising synchronization – ensure temporally consistent, hyperparameter tuning-free execution. Beyond video, we extend HDEdit to 3D editing via a simple yet effective render-edit-reconstruct process that maintains strong geometric consistency. Extensive experiments demonstrate our state-of-the-art results across diverse and challenging edits, including long-duration videos, fast camera motion, and significant 3D geometric changes.

The website template is borrowed from ProEdit.