8 citations · 29 across the 20 of their papers we have counts for
20 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…
VO-DP: Semantic-Geometric Adaptive Diffusion Policy for Vision-Only Robotic Manipulation
Zehao Ni, Yonghao He, Lingfeng Qian +7
In the context of imitation learning, visuomotor-based diffusion policy learning is one of the main directions in robotic manipulation. Most of these approaches rely on point cloud…
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…
EmoDiffusion: Enhancing Emotional 3D Facial Animation with Latent Diffusion Models
Yixuan Zhang, Qing Chang, Yuxi Wang +3
Speech-driven 3D facial animation seeks to produce lifelike facial expressions that are synchronized with the speech content and its emotional nuances, finding applications in vari…
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…
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
Hongcheng Guo, Jian Yang, Jiaheng Liu +7
Log anomaly detection is a key component in the field of artificial intelligence for IT operations (AIOps). Considering log data of variant domains, retraining the whole network fo…
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…
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Zekun Moore Wang, Zhongyuan Peng, Haoran Que +14
The advent of Large Language Models (LLMs) has paved the way for complex tasks such as role-playing, which enhances user interactions by enabling models to imitate various characte…
OWL: A Large Language Model for IT Operations
Hongcheng Guo, Jian Yang, Jiaheng Liu +13
With the rapid development of IT operations, it has become increasingly crucial to efficiently manage and analyze large volumes of data for practical applications. The techniques o…