1 citations · 2 across the 10 of their papers we have counts for
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ID-Crafter: VLM-Grounded Online RL for Compositional Multi-Subject Video Generation
Panwang Pan, Jingjing Zhao, Yuchen Lin +5
Significant progress has been achieved in high-fidelity video synthesis, yet current paradigms often fall short in effectively integrating identity information from multiple subjec…
Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models
Panwang Pan, Chenguo Lin, Jingjing Zhao +8
We introduce Diff4Splat, a feed-forward method that synthesizes controllable and explicit 4D scenes from a single image. Our approach unifies the generative priors of video diffusi…
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second
Chenguo Lin, Yuchen Lin, Panwang Pan +5
We present MoVieS, a Motion-aware View Synthesis model that reconstructs 4D dynamic scenes from monocular videos in one second. It represents dynamic 3D scenes with pixel-aligned G…
PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers
Yuchen Lin, Chenguo Lin, Panwang Pan +4
We introduce PartCrafter, the first structured 3D generative model that jointly synthesizes multiple semantically meaningful and geometrically distinct 3D meshes from a single RGB…
OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation
Yuchen Lin, Chenguo Lin, Jianjin Xu +1
Recently, significant advancements have been made in the reconstruction and generation of 3D assets, including static cases and those with physical interactions. To recover the phy…
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
Chenguo Lin, Panwang Pan, Bangbang Yang +2
Recent advancements in 3D content generation from text or a single image struggle with limited high-quality 3D datasets and inconsistency from 2D multi-view generation. We introduc…