activity
20232026
most citedSEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

12 citations · 41 across the 26 of their papers we have counts for

collaborators
Showing 2024Show all

9 papers · 1 filter

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

Mengchen Zhang, Tong Wu, Tai Wang +3

6D object pose estimation aims at determining an object's translation, rotation, and scale, typically from a single RGBD image. Recent advancements have expanded this estimation fr…

cs.CV2024★ 1 cited

3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Zhaoxi Chen, Jiaxiang Tang, Yuhao Dong +10

The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation. Despite recent advancements in 3D generative mo…

cs.CV2024★ 2 cited

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…

cs.CV2024

VEnhancer: Generative Space-Time Enhancement for Video Generation

Jingwen He, Tianfan Xue, Dongyang Liu +6

We present VEnhancer, a generative space-time enhancement framework that improves the existing text-to-video results by adding more details in spatial domain and synthetic detailed…

cs.CV2024★ 1 cited

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

Fangzhou Hong, Jiaxiang Tang, Ziang Cao +8

We present a two-stage text-to-3D generation system, namely 3DTopia, which generates high-quality general 3D assets within 5 minutes using hybrid diffusion priors. The first stage…

cs.CL2024

SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models

Lijun Li, Bowen Dong, Ruohui Wang +5

In the rapidly evolving landscape of Large Language Models (LLMs), ensuring robust safety measures is paramount. To meet this crucial need, we propose \emph{SALAD-Bench}, a safety…

cs.CV2024★ 1 cited

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…