OmniShowcase generates subject-consistent video from multi-view images
Training covers 12 camera motions and 88 trajectories, including full 360-degree orbits, with surface-normal conditioning from reference views.
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Stories tagged #multi-view
FocusVLA routes multi-view inputs using predicted future intent
On RoboTwin 2.0 it raises average success 10.10 points over π0.5, and real-world success from 71.7% to 85.0%.
RealMe builds 2K 4D-consistent volumetric video from sparse captures
A high-resolution video diffusion model refines limited multi-view captures and beats prior methods on DNA-Rendering and RealVV.
MindView benchmark tests generative multi-view spatial intelligence
Fine-tuning BAGEL on MindView raises its overall score by 24.3 points and improves all seven tasks.
HRoPE encodes patch surfaces as slanted planes for multi-view attention
Plane parameters need no ground-truth geometry and can be learned from view synthesis alone or taken from foundation models.
Video-Point Model forecasts multi-view video and 3D point trajectories
Point supervision on VPM-Data and VP-WorldBench improves video fidelity, 3D motion, and robot manipulation success.
NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
NAMVIS generates consistent multi-view images with geometry-conditioned autoregression, beating diffusion baselines and running over 3x faster.
T3lescope: Arbitrary-Resolution High-Fidelity Generative Surface Reconstruction from Images
T3lescope reconstructs high-fidelity 3D meshes from multi-view images at arbitrary scale without per-scene optimization.
VGGT-Diff: Visual Geometry Meets Diffusion for Sparse-View Novel View Synthesis
VGGT-Diff routes VGGT-Ω geometry latents into a video diffusion model for sparse-view novel view synthesis.
UltraTex: Unleashing 2K Multi-View Diffusion for 3D Texturing
UltraTex enables 2048-resolution multi-view diffusion for 3D texturing with large training and inference speedups.
RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting
RelightFormer is a feed-forward generative transformer for photorealistic single- and multi-view object relighting, trained on a 90K-object dataset.