5 citations · 10 across the 9 of their papers we have counts for
10 papers
Dior: Drawing the Light of Image via Material-Decoupled Illumination Representation
Xuanpu Zhang, Xuesong Niu, Haoxiang Cao +4
Controllable image relighting is an important problem in image editing, and hand-drawn scribbles provide an intuitive interface for specifying the desired illumination. However, ex…
MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors
Yufei Cai, Xuesong Niu, Hao Lu +3
Current visual generation models are capable of producing high-quality content, yet they lack a coherent perception of the spatial structure. Existing generative novel view synthes…
Boosting Latent Diffusion Models via Disentangled Representation Alignment
John Page, Xuesong Niu, Kai Wu +1
Latent Diffusion Models (LDMs) rely heavily on the compressed latent space provided by Variational Autoencoders (VAEs) for high-quality image generation. Recent studies have attemp…
Group Relative Attention Guidance for Image Editing
Xuanpu Zhang, Xuesong Niu, Ruidong Chen +6
Recently, image editing based on Diffusion-in-Transformer models has undergone rapid development. However, existing editing methods often lack effective control over the degree of…
Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter
Weizhi Zhong, Huan Yang, Zheng Liu +5
Personalized text-to-image generation aims to synthesize images of user-provided concepts in diverse contexts. Despite recent progress in multi-concept personalization, most are li…
Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection
Yong Li, Yi Ren, Xuesong Niu +3
Facial Action Units (AUs) are essential for conveying psychological states and emotional expressions. While automatic AU detection systems leveraging deep learning have progressed,…
Multi-modal Situated Reasoning in 3D Scenes
Xiongkun Linghu, Jiangyong Huang, Xuesong Niu +3
Situation awareness is essential for understanding and reasoning about 3D scenes in embodied AI agents. However, existing datasets and benchmarks for situated understanding are lim…
F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions
Jie Yang, Xuesong Niu, Nan Jiang +2
Existing 3D human object interaction (HOI) datasets and models simply align global descriptions with the long HOI sequence, while lacking a detailed understanding of intermediate s…
Unifying 3D Vision-Language Understanding via Promptable Queries
Ziyu Zhu, Zhuofan Zhang, Xiaojian Ma +6
A unified model for 3D vision-language (3D-VL) understanding is expected to take various scene representations and perform a wide range of tasks in a 3D scene. However, a considera…
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
Baoxiong Jia, Yixin Chen, Huangyue Yu +5
3D vision-language grounding, which focuses on aligning language with the 3D physical environment, stands as a cornerstone in the development of embodied agents. In comparison to r…