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The paper introduces Video-Point Model (VPM), a world model that jointly forecasts multi-view videos and 3D point trajectories from video histories and language instructions, improving 4D forecasting fidelity and robot manipulation success through shared 3D-aware representations.
GeoFix提出了一种统一框架，通过单一几何奖励提升4D生成中的几何一致性和视觉质量，该奖励衡量静态区域的跨视角深度一致性，并针对视角重叠效应进行校准，实现了WorldScore 3D一致性提升39%和VBench质量提升4%。
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.