4 papers · 1 filter
GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation
Jiahao Lu, Minghao Yin, Wenbo Hu +5
We present a compact geometry-native latent space as a shared foundation for perception and generation. Visual generators can produce photorealistic frames without preserving a con…
SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers
Minghao Yin, Jiahao Lu, Wenbo Hu +3
Video diffusion transformers address their tokens by position on the pixel-time grid: an address in the tensor, not in the world. The address we would want, the world point a token…
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers
Minghao Yin, Wenbo Hu, Jiale Xu +2
Recent breakthroughs in 3D generative modeling have yielded remarkable progress in static shape synthesis, yet high-fidelity dynamic 4D generation remains elusive, hindered by temp…
VerseCrafter: Dynamic Realistic Video World Model with 4D Geometric Control
Sixiao Zheng, Minghao Yin, Wenbo Hu +3
Video world models aim to simulate dynamic, real-world environments, yet existing methods struggle to provide unified and precise control over camera and multi-object motion, as vi…