papers

Publications (18)

cs.CV2026

Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing

Junliang Ye, Kenkun Liu, Guocun Wang +13

Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate understanding, generation, and editing. However, unified 3D modeling…

cs.CV2025

Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning

Jian Liu, Jing Xu, Song Guo +10

Existing pretrained models for 3D mesh generation often suffer from data biases and produce low-quality results, while global reinforcement learning (RL) methods rely on object-lev…

cs.CV2026

QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models

Jian Liu, Chunshi Wang, Song Guo +9

The generation of quadrilateral-dominant meshes is a cornerstone of professional 3D content creation. However, existing generative models generate quad meshes by first generating t…

cs.CV2025

Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMs

Jiaao Yu, Shenwei Li, Mingjie Han +4

Recent breakthroughs in reasoning models have markedly advanced the reasoning capabilities of large language models, particularly via training on tasks with verifiable rewards. Yet…

cs.CV2025

Frame-Difference Guided Dynamic Region Perception for CLIP Adaptation in Text-Video Retrieval

Jiaao Yu, Mingjie Han, Tao Gong +2

With the rapid growth of video data, text-video retrieval technology has become increasingly important in numerous application scenarios such as recommendation and search. Early te…

cs.IR2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

Zijian Zhang, Shuchang Liu, Jiaao Yu +9

Multi-domain recommendation and multi-task recommendation have demonstrated their effectiveness in leveraging common information from different domains and objectives for comprehen…