22 citations · 23 across the 8 of their papers we have counts for
9 papers
Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding
Yuan Yao, Qiushi Yang, Humen Zhong +5
Open-world referring segmentation requires grounding unconstrained language expressions to precise pixel-level regions. Existing multimodal large language models (MLLMs) exhibit st…
McSc: Motion-Corrective Preference Alignment for Video Generation with Self-Critic Hierarchical Reasoning
Qiushi Yang, Yingjie Chen, Yuan Yao +3
Text-to-video (T2V) generation has achieved remarkable progress in producing high-quality videos aligned with textual prompts. However, aligning synthesized videos with nuanced hum…
Creating Your Editable 3D Photorealistic Avatar with Tetrahedron-constrained Gaussian Splatting
Hanxi Liu, Yifang Men, Zhouhui Lian
Personalized 3D avatar editing holds significant promise due to its user-friendliness and availability to applications such as AR/VR and virtual try-ons. Previous studies have expl…
Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation
Yingjie Chen, Yifang Men, Yuan Yao +2
Motion-controllable image animation is a fundamental task with a wide range of potential applications. Recent works have made progress in controlling camera or object motion via va…
Generating Editable Head Avatars with 3D Gaussian GANs
Guohao Li, Hongyu Yang, Yifang Men +4
Generating animatable and editable 3D head avatars is essential for various applications in computer vision and graphics. Traditional 3D-aware generative adversarial networks (GANs…
MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling
Yifang Men, Yuan Yao, Miaomiao Cui +1
Character video synthesis aims to produce realistic videos of animatable characters within lifelike scenes. As a fundamental problem in the computer vision and graphics community,…
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
Yifang Men, Biwen Lei, Yuan Yao +3
We present En3D, an enhanced generative scheme for sculpting high-quality 3D human avatars. Unlike previous works that rely on scarce 3D datasets or limited 2D collections with imb…
DCT-Net: Domain-Calibrated Translation for Portrait Stylization
Yifang Men, Yuan Yao, Miaomiao Cui +2
This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. Given limited style exemplars (100), the new architecture can produce…
Controllable Person Image Synthesis with Attribute-Decomposed GAN
Yifang Men, Yiming Mao, Yuning Jiang +2
This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human a…