NeoMap introduces a training-free framework using convergent manifold alternating projection iterations to extract high-fidelity novel views from pre-trained video models, outperforming prior methods on standard benchmarks.
Collaborative video diffusion: Consistent multi-video generation with camera control
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SpatialEdit provides a benchmark, large synthetic dataset, and baseline model for precise object and camera spatial manipulations in images, with the model beating priors on spatial editing.
CameraCtrl enables accurate camera pose control in video diffusion models through a trained plug-and-play module and dataset choices emphasizing diverse camera trajectories with matching appearance.
citing papers explorer
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NeoMap: Training-free Novel-View Synthesis from Single Images and Videos
NeoMap introduces a training-free framework using convergent manifold alternating projection iterations to extract high-fidelity novel views from pre-trained video models, outperforming prior methods on standard benchmarks.
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SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing
SpatialEdit provides a benchmark, large synthetic dataset, and baseline model for precise object and camera spatial manipulations in images, with the model beating priors on spatial editing.
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CameraCtrl: Enabling Camera Control for Text-to-Video Generation
CameraCtrl enables accurate camera pose control in video diffusion models through a trained plug-and-play module and dataset choices emphasizing diverse camera trajectories with matching appearance.