1 citations · 2 across the 6 of their papers we have counts for
6 papers
SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation
Ling Wang, Hao-Xiang Guo, Xinzhou Wang +9
We introduce SceneTransporter, an end-to-end framework for structured 3D scene generation from a single image. While existing methods generate part-level 3D objects, they often fai…
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
Yikai Wang, Guangce Liu, Xinzhou Wang +5
The advancement of 4D (i.e., sequential 3D) generation opens up new possibilities for lifelike experiences in various applications, where users can explore dynamic objects or chara…
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels
Yikai Wang, Xinzhou Wang, Zilong Chen +3
Video generative models are receiving particular attention given their ability to generate realistic and imaginative frames. Besides, these models are also observed to exhibit stro…
Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding
Pengkun Liu, Yikai Wang, Fuchun Sun +4
Encouraged by the growing availability of pre-trained 2D diffusion models, image-to-3D generation by leveraging Score Distillation Sampling (SDS) is making remarkable progress. Mos…
Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning
Zhaoxun Ju, Chao Yang, Hongbo Wang +2
Language-conditioned robot behavior plays a vital role in executing complex tasks by associating human commands or instructions with perception and actions. The ability to compose…
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
Xinzhou Wang, Yikai Wang, Junliang Ye +7
Advances in 3D generation have facilitated sequential 3D model generation (a.k.a 4D generation), yet its application for animatable objects with large motion remains scarce. Our wo…