35 citations · 87 across the 15 of their papers we have counts for
6 papers · 1 filter
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
Tong Wu, Yinghao Xu, Ryan Po +6
Recent advances in text-to-image generation have enabled the creation of high-quality images with diverse applications. However, accurately describing desired visual attributes can…
Imagine360: Immersive 360 Video Generation from Perspective Anchor
Jing Tan, Shuai Yang, Tong Wu +4
videos offer a hyper-immersive experience that allows the viewers to explore a dynamic scene from full 360 degrees. To achieve more user-friendly and personalized conte…
LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation
Shuai Yang, Jing Tan, Mengchen Zhang +5
3D immersive scene generation is a challenging yet critical task in computer vision and graphics. A desired virtual 3D scene should 1) exhibit omnidirectional view consistency, and…
Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
Ye Fang, Zeyi Sun, Tong Wu +4
Physically realistic materials are pivotal in augmenting the realism of 3D assets across various applications and lighting conditions. However, existing 3D assets and generative mo…
TC4D: Trajectory-Conditioned Text-to-4D Generation
Sherwin Bahmani, Xian Liu, Wang Yifan +9
Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using supervision from pre-trained text-to-video models. However, existing representations for motion, such…
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
Tong Wu, Guandao Yang, Zhibing Li +5
Despite recent advances in text-to-3D generative methods, there is a notable absence of reliable evaluation metrics. Existing metrics usually focus on a single criterion each, such…