4d-generation

This paper introduces Latent-to-4D, a method for direct 4D scene generation from video diffusion latents without retraining across generators, achieving better geometry and temporal stability than cascaded approaches.

Hallo4D is a model-agnostic framework that leverages large multimodal language models to detect and correct spatial and temporal hallucinations in 3D and 4D generation, improving consistency across viewpoints and time without requiring retraining.

PhyGenHOI is a novel framework that generates physically accurate 4D human-object interactions by coupling motion diffusion models with material point method simulations using 3D Gaussian representations.

Helix4D introduces a framework for high-quality dynamic 4D mesh generation from video by extending Trellis2 with cross-frame attention and a 4D temporal encoding that repurposes redundant spatial RoPE bands without adding parameters.