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NeuWorld is a new interactive video generation system that uses compact neural implicit scene representations and a transformer VAE with diffusion transformer for trajectory-conditioned rendering, achieving long-horizon consistency.
This paper presents TryOnCrafter, a novel framework for camera-controllable video virtual try-on that uses a renderable 4D try-on proxy and DiT-based video generation to achieve omnidirectional viewpoint exploration, overcoming the limitations of existing methods that depend on fixed source camera trajectories.
Warp-as-History proposes a novel interface that transforms camera-induced warps into pseudo-history representations, enabling a frozen video generation model to follow camera trajectories without training or test-time optimization. A lightweight LoRA fine-tuning on a single video further improves camera adherence and generalizes to unseen videos.