activity
20232026
most citedA Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

8 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

CineForge: Self-Improving Agents for Long-Horizon Video Generation

Junxiang Liu, Lin Wang, Haiyu Shi +10

Long-horizon story-driven video generation requires a production agent to coordinate narrative decomposition, state tracking, shot design, prompt construction, rendering, and revis…

cs.CV2025

DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation

Haoran Li, Yuli Tian, Kun Lan +4

Generating 3D scenes from natural language holds great promise for applications in gaming, film, and design. However, existing methods struggle with automation, 3D consistency, and…

cs.CV2024★ 1 cited

Text-to-3D Generation by 2D Editing

Haoran Li, Yuli Tian, Yonghui Wang +4

Distilling 3D representations from pretrained 2D diffusion models is essential for 3D creative applications across gaming, film, and interior design. Current SDS-based methods are…

cs.CV2024★ 8 cited

A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Pengyuan Zhou, Lin Wang, Zhi Liu +4

This paper offers an insightful examination of how currently top-trending AI technologies, i.e., generative artificial intelligence (Generative AI) and large language models (LLMs)…

cs.CV2024

DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling

Haoran Li, Haolin Shi, Wenli Zhang +5

Text-to-3D scene generation holds immense potential for the gaming, film, and architecture sectors. Despite significant progress, existing methods struggle with maintaining high qu…

cs.CV2024

Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360 Image Outpainting

Hao Ai, Zidong Cao, Haonan Lu +6

360 images, with a field-of-view (FoV) of 180x360, provide immersive and realistic environments for emerging virtual reality (VR) applications, such as virtual tourism, where users…

cs.CV2023★ 1 cited

2D-Guided 3D Gaussian Segmentation

Kun Lan, Haoran Li, Haolin Shi +4

Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and…