collaborators

8 papers

cs.GR2026

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

Lin Song, Wenbo Li, Guoqing Ma +16

We present JoyAI-Image, a unified multimodal foundation model for visual understanding, text-to-image generation, and instruction-guided image editing. JoyAI-Image couples a spatia…

cs.CV2026

Thinking with Novel Views: A Systematic Analysis of Generative-Augmented Spatial Intelligence

Yanbing Zhang, Bo Wang, Jianhui Liu +9

Current Large Multimodal Models (LMMs) struggle with spatial reasoning tasks requiring viewpoint-dependent understanding, largely because they are confined to a single, static obse…

cs.CL2026

TextLDM: Language Modeling with Continuous Latent Diffusion

Jiaxiu Jiang, Jingjing Ren, Wenbo Li +10

Diffusion Transformers (DiT) trained with flow matching in a VAE latent space have unified visual generation across images and videos. A natural next step toward a single architect…

cs.CL2026

OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence

Jianhui Liu, Haoze Sun, Wenbo Li +11

Spatial understanding is a fundamental cornerstone of human-level intelligence. Nonetheless, current research predominantly focuses on domain-specific data production, leaving a cr…

cs.CV2025

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers

Yanbing Zhang, Zhe Wang, Qin Zhou +1

In light of recent breakthroughs in text-to-image (T2I) generation, particularly with diffusion transformers (DiT), subject-driven technologies are increasingly being employed for…

cs.CV2025

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Jiale Tao, Yanbing Zhang, Qixun Wang +9

Current learning-based subject customization approaches, predominantly relying on U-Net architectures, suffer from limited generalization ability and compromised image quality. Mea…