7 papers · 1 filter
I3DM: Implicit 3D-aware Memory Retrieval and Injection for Consistent Video Scene Generation
Jia Li, Han Yan, Yihang Chen +6
Despite remarkable progress in video generation, maintaining long-term scene consistency upon revisiting previously explored areas remains challenging. Existing solutions rely eith…
BachVid: Training-Free Video Generation with Consistent Background and Character
Han Yan, Xibin Song, Yifu Wang +3
Diffusion Transformers (DiTs) have recently driven significant progress in text-to-video (T2V) generation. However, generating multiple videos with consistent characters and backgr…
BAG: Body-Aligned 3D Wearable Asset Generation
Zhongjin Luo, Yang Li, Mingrui Zhang +8
While recent advancements have shown remarkable progress in general 3D shape generation models, the challenge of leveraging these approaches to automatically generate wearable 3D a…
PhyCAGE: Physically Plausible Compositional 3D Asset Generation from a Single Image
Han Yan, Mingrui Zhang, Yang Li +2
We present PhyCAGE, the first approach for physically plausible compositional 3D asset generation from a single image. Given an input image, we first generate consistent multi-view…
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane
Han Yan, Yang Li, Zhennan Wu +9
We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass. Unlike existing methods that output a single, unified 3D s…
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
Ruikai Cui, Weizhe Liu, Weixuan Sun +9
3D shape generation aims to produce innovative 3D content adhering to specific conditions and constraints. Existing methods often decompose 3D shapes into a sequence of localized c…