12 citations · 29 across the 18 of their papers we have counts for
18 papers
RoleMotion: A Large-Scale Dataset towards Robust Scene-Specific Role-Playing Motion Synthesis with Fine-grained Descriptions
Junran Peng, Yiheng Huang, Silei Shen +8
In this paper, we introduce RoleMotion, a large-scale human motion dataset that encompasses a wealth of role-playing and functional motion data tailored to fit various specific sce…
MarketGen: A Scalable Simulation Platform with Auto-Generated Embodied Supermarket Environments
Xu Hu, Yiyang Feng, Junran Peng +7
The development of embodied agents for complex commercial environments is hindered by a critical gap in existing robotics datasets and benchmarks, which primarily focus on househol…
GSPlane: Concise and Accurate Planar Reconstruction via Structured Representation
Ruitong Gan, Junran Peng, Yang Liu +3
Planes are fundamental primitives of 3D sences, especially in man-made environments such as indoor spaces and urban streets. Representing these planes in a structured and parameter…
VGGT-X: When VGGT Meets Dense Novel View Synthesis
Yang Liu, Chuanchen Luo, Zimo Tang +2
We study the problem of applying 3D Foundation Models (3DFMs) to dense Novel View Synthesis (NVS). Despite significant progress in Novel View Synthesis powered by NeRF and 3DGS, cu…
SIG-Chat: Spatial Intent-Guided Conversational Gesture Generation Involving How, When and Where
Yiheng Huang, Junran Peng, Silei Shen +11
The accompanying actions and gestures in dialogue are often closely linked to interactions with the environment, such as looking toward the interlocutor or using gestures to point…
TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer
Yang Liu, Chuanchen Luo, Zimo Tang +6
Illumination and texture editing are critical dimensions for world-to-world transfer, which is valuable for applications including sim2real and real2real visual data scaling up for…
OOD-HOI: Text-Driven 3D Whole-Body Human-Object Interactions Generation Beyond Training Domains
Yixuan Zhang, Hui Yang, Chuanchen Luo +3
Generating realistic 3D human-object interactions (HOIs) from text descriptions is a active research topic with potential applications in virtual and augmented reality, robotics, a…
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes
Yang Liu, Chuanchen Luo, Zhongkai Mao +2
Recently, 3D Gaussian Splatting (3DGS) has revolutionized radiance field reconstruction, manifesting efficient and high-fidelity novel view synthesis. However, accurately represent…
CityX: Controllable Procedural Content Generation for Unbounded 3D Cities
Shougao Zhang, Mengqi Zhou, Yuxi Wang +5
Urban areas, as the primary human habitat in modern civilization, accommodate a broad spectrum of social activities. With the surge of embodied intelligence, recent years have witn…
MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets
Zeyu Li, Ruitong Gan, Chuanchen Luo +7
Driven by powerful image diffusion models, recent research has achieved the automatic creation of 3D objects from textual or visual guidance. By performing score distillation sampl…
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework
Yiheng Huang, Hui Yang, Chuanchen Luo +5
Thanks to the powerful generative capacity of diffusion models, recent years have witnessed rapid progress in human motion generation. Existing diffusion-based methods employ dispa…
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu, He Guan, Chuanchen Luo +4
The advancement of real-time 3D scene reconstruction and novel view synthesis has been significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large-…
SceneX: Procedural Controllable Large-scale Scene Generation
Mengqi Zhou, Yuxi Wang, Jun Hou +5
Developing comprehensive explicit world models is crucial for understanding and simulating real-world scenarios. Recently, Procedural Controllable Generation (PCG) has gained signi…
SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition
Xu Hu, Yuxi Wang, Lue Fan +6
3D Gaussian Splatting has emerged as an alternative 3D representation for novel view synthesis, benefiting from its high-quality rendering results and real-time rendering speed. Ho…
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes
Genghao Zhang, Yuxi Wang, Chuanchen Luo +4
Indoor scene generation has attracted significant attention recently as it is crucial for applications of gaming, virtual reality, and interior design. Current indoor scene generat…
FG-MDM: Towards Zero-Shot Human Motion Generation via ChatGPT-Refined Descriptions
Xu Shi, Wei Yao, Chuanchen Luo +3
Recently, significant progress has been made in text-based motion generation, enabling the generation of diverse and high-quality human motions that conform to textual descriptions…
DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization
Xiaojun Tang, Junsong Fan, Chuanchen Luo +3
Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task. Due to large-scale datasets, most existing methods use a network pretrained in other data…
Spectral Feature Transformation for Person Re-identification
Chuanchen Luo, Yuntao Chen, Naiyan Wang +1
With the surge of deep learning techniques, the field of person re-identification has witnessed rapid progress in recent years. Deep learning based methods focus on learning a feat…