Search papers, labs, and topics across Lattice.
3
0
6
4
Iterative refinement in data space, not flow space, unlocks fast, high-fidelity generative sampling without manual timestep tuning.
Ditch the VAE bottleneck: Representation Forcing lets you train unified multimodal models to generate high-quality images directly from pixels, rivaling VAE-based approaches without the architectural constraint.
Training a single model across text, images, video, 3D geometry, and hidden representations unlocks "Context Unrolling," where the model reasons across modalities to improve reasoning fidelity.
