activity
20242026
collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Does Synthetic Layered Design Data Benefit Layered Design Decomposition?

Kam Man Wu, Haolin Yang, Qingyu Chen +3

Recent advances in image generation have made it easy to produce high-quality images. However, these outputs are inherently flattened, entangling foreground elements, background, a…

cs.CV2026

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

Yihao Meng, Zichen Liu, Hao Ouyang +11

Autoregressive video generation aims at real-time, open-ended synthesis. Yet, cinematic storytelling is not merely the endless extension of a single scene; it requires progressing…

cs.CV2025

Rethinking Layered Graphic Design Generation with a Top-Down Approach

Jingye Chen, Zhaowen Wang, Nanxuan Zhao +4

Graphic design is crucial for conveying ideas and messages. Designers usually organize their work into objects, backgrounds, and vectorized text layers to simplify editing. However…

cs.CV2025

Model as a Game: On Numerical and Spatial Consistency for Generative Games

Jingye Chen, Yuzhong Zhao, Yupan Huang +5

Recent advances in generative models have significantly impacted game generation. However, despite producing high-quality graphics and adequately receiving player input, existing m…

cs.CV2024

TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization

Kien T. Pham, Jingye Chen, Qifeng Chen

We present TALE, a novel training-free framework harnessing the generative capabilities of text-to-image diffusion models to address the cross-domain image composition task that fo…