9 citations · 34 across the 44 of their papers we have counts for
16 papers · 1 filter
AnimateAnything: Consistent and Controllable Animation for Video Generation
Guojun Lei, Chi Wang, Hong Li +3
We present a unified controllable video generation approach AnimateAnything that facilitates precise and consistent video manipulation across various conditions, including camera t…
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models
Zhengyi Wang, Jonathan Lorraine, Yikai Wang +4
This work explores expanding the capabilities of large language models (LLMs) pretrained on text to generate 3D meshes within a unified model. This offers key advantages of (1) lev…
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion
Wenqiang Sun, Shuo Chen, Fangfu Liu +4
In this paper, we introduce \textbf{DimensionX}, a framework designed to generate photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach begins…
ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model
Fangfu Liu, Wenqiang Sun, Hanyang Wang +5
Advancements in 3D scene reconstruction have transformed 2D images from the real world into 3D models, producing realistic 3D results from hundreds of input photos. Despite great s…
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization
Yiwen Chen, Yikai Wang, Yihao Luo +5
Meshes are the de facto 3D representation in the industry but are labor-intensive to produce. Recently, a line of research has focused on autoregressively generating meshes. This a…
Differentiable Voxelization and Mesh Morphing
Yihao Luo, Yikai Wang, Zhengrui Xiang +3
In this paper, we propose the differentiable voxelization of 3D meshes via the winding number and solid angles. The proposed approach achieves fast, flexible, and accurate voxeliza…
Small Scale Data-Free Knowledge Distillation
He Liu, Yikai Wang, Huaping Liu +2
Data-free knowledge distillation is able to utilize the knowledge learned by a large teacher network to augment the training of a smaller student network without accessing the orig…
Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models
Wenqiang Sun, Zhengyi Wang, Shuo Chen +4
Creating 3D assets from single-view images is a complex task that demands a deep understanding of the world. Recently, feed-forward 3D generative models have made significant progr…
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
Haohan Weng, Yikai Wang, Tong Zhang +2
Generating compact and sharply detailed 3D meshes poses a significant challenge for current 3D generative models. Different from extracting dense meshes from neural representation,…
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…
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes
Ruowen Zhao, Zhengyi Wang, Yikai Wang +2
3D content generation has wide applications in various fields. One of its dominant paradigms is by sparse-view reconstruction using multi-view images generated by diffusion models.…
Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence
Ling Wang, Runfa Chen, Yikai Wang +6
Unsupervised non-rigid point cloud shape correspondence underpins a multitude of 3D vision tasks, yet itself is non-trivial given the exponential complexity stemming from inter-poi…
DreamReward: Text-to-3D Generation with Human Preference
Junliang Ye, Fangfu Liu, Qixiu Li +5
3D content creation from text prompts has shown remarkable success recently. However, current text-to-3D methods often generate 3D results that do not align well with human prefere…
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…
V3D: Video Diffusion Models are Effective 3D Generators
Zilong Chen, Yikai Wang, Feng Wang +2
Automatic 3D generation has recently attracted widespread attention. Recent methods have greatly accelerated the generation speed, but usually produce less-detailed objects due to…
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
Zhengyi Wang, Yikai Wang, Yifei Chen +6
Feed-forward 3D generative models like the Large Reconstruction Model (LRM) have demonstrated exceptional generation speed. However, the transformer-based methods do not leverage t…