13 citations · 25 across the 8 of their papers we have counts for
7 papers · 1 filter
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
Sijin Chen, Xin Chen, Anqi Pang +11
The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed, and storage efficiency, which is widely preferred in various applications. However, giv…
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Yucheng Han, Rui Wang, Chi Zhang +4
Recent advancements in image generation have enabled the creation of high-quality images from text conditions. However, when facing multi-modal conditions, such as text combined wi…
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Xiwei Hu, Rui Wang, Yixiao Fang +3
Diffusion models have demonstrated remarkable performance in the domain of text-to-image generation. However, most widely used models still employ CLIP as their text encoder, which…
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
Chi Zhang, Wei Yin, Gang Yu +5
In this study, we address the challenge of 3D scene structure recovery from monocular depth estimation. While traditional depth estimation methods leverage labeled datasets to dire…
Deformation Robust Text Spotting with Geometric Prior
Xixuan Hao, Aozhong Zhang, Xianze Meng +1
The goal of text spotting is to perform text detection and recognition in an end-to-end manner. Although the diversity of luminosity and orientation in scene texts has been widely…
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu +7
The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models. Nevertheless, the limited availability of diverse 3D r…