This workshop focuses on generative scene completion, which is indispensable for world models, VR/AR, telepresence, autonomous driving, and robotics. It explores how generative models can help reconstruct photorealistic 3D environments from sparse or partial input data by filling in occluded or unseen spaces. Topics include world models, generative models, inpainting, artifact removal, uncertainty, controllability, and handling of casual data. We will discuss how related directions like text-to-3D and single-image-to-3D compare with scene completion, where more input constraints must be satisfied. The workshop highlights key challenges and recent progress in transforming incomplete real-world captures into immersive environments. https://scenecomp.github.io/