14 citations · 36 across the 22 of their papers we have counts for
22 papers
T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation
Wentao Qu, Qi Zhang, Chenxu Wang +5
Recent progress in Text-to-Image generation benefits from large-scale Text-Image pairs. However, the scarcity of Text-LiDAR pairs often causes over-smoothed scenes and limited cont…
Reconstructing Close Human Interaction with Appearance and Proxemics Reasoning
Buzhen Huang, Chen Li, Chongyang Xu +4
Due to visual ambiguities and inter-person occlusions, existing human pose estimation methods cannot recover plausible close interactions from in-the-wild videos. Even state-of-the…
MAR-3D: Progressive Masked Auto-regressor for High-Resolution 3D Generation
Jinnan Chen, Lingting Zhu, Zeyu Hu +4
Recent advances in auto-regressive transformers have revolutionized generative modeling across different domains, from language processing to visual generation, demonstrating remar…
ChatSplat: 3D Conversational Gaussian Splatting
Hanlin Chen, Fangyin Wei, Gim Hee Lee
Humans naturally interact with their 3D surroundings using language, and modeling 3D language fields for scene understanding and interaction has gained growing interest. This paper…
GenXD: Generating Any 3D and 4D Scenes
Yuyang Zhao, Chung-Ching Lin, Kevin Lin +6
Recent developments in 2D visual generation have been remarkably successful. However, 3D and 4D generation remain challenging in real-world applications due to the lack of large-sc…
DiHuR: Diffusion-Guided Generalizable Human Reconstruction
Jinnan Chen, Chen Li, Gim Hee Lee
We introduce DiHuR, a novel Diffusion-guided model for generalizable Human 3D Reconstruction and view synthesis from sparse, minimally overlapping images. While existing generaliza…
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly
Mengqi Guo, Chen Li, Yuyang Zhao +1
Inferring step-wise actions to assemble 3D objects with primitive bricks from images is a challenging task due to complex constraints and the vast number of possible combinations.…
X-Ray: A Sequential 3D Representation For Generation
Tao Hu, Wenhang Ge, Yuyang Zhao +1
We introduce X-Ray, a novel 3D sequential representation inspired by the penetrability of x-ray scans. X-Ray transforms a 3D object into a series of surface frames at different lay…
Generalizable Human Gaussians from Single-View Image
Jinnan Chen, Chen Li, Jianfeng Zhang +4
In this work, we tackle the task of learning 3D human Gaussians from a single image, focusing on recovering detailed appearance and geometry including unobserved regions. We introd…
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
Hanlin Chen, Fangyin Wei, Chen Li +3
Although 3D Gaussian Splatting has been widely studied because of its realistic and efficient novel-view synthesis, it is still challenging to extract a high-quality surface from t…
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes
Yunsong Wang, Tianxin Huang, Hanlin Chen +1
Empowering 3D Gaussian Splatting with generalization ability is appealing. However, existing generalizable 3D Gaussian Splatting methods are largely confined to narrow-range interp…
Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption
Buzhen Huang, Chen Li, Chongyang Xu +3
Existing multi-person human reconstruction approaches mainly focus on recovering accurate poses or avoiding penetration, but overlook the modeling of close interactions. In this wo…
Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim Hee Lee
In this paper, we investigate Open-Vocabulary 3D Instance Segmentation (OV-3DIS) with free-form language instructions. Earlier works that rely on only annotated base categories for…
ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
Tianxin Huang, Zhiwen Yan, Yuyang Zhao +1
3D point clouds directly collected from objects through sensors are often incomplete due to self-occlusion. Conventional methods for completing these partial point clouds rely on m…
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields
Yunsong Wang, Hanlin Chen, Gim Hee Lee
Recent advancements in vision-language foundation models have significantly enhanced open-vocabulary 3D scene understanding. However, the generalizability of existing methods is co…
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
Jie Long Lee, Chen Li, Gim Hee Lee
We present DiSR-NeRF, a diffusion-guided framework for view-consistent super-resolution (SR) NeRF. Unlike prior works, we circumvent the requirement for high-resolution (HR) refere…
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields
Bo Xu, Ziao Liu, Mengqi Guo +2
We propose a novel rolling shutter bundle adjustment method for neural radiance fields (NeRF), which utilizes the unordered rolling shutter (RS) images to obtain the implicit 3D re…
NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance
Hanlin Chen, Chen Li, Yunsong Wang +1
Existing neural implicit surface reconstruction methods have achieved impressive performance in multi-view 3D reconstruction by leveraging explicit geometry priors such as depth ma…
SCALAR-NeRF: SCAlable LARge-scale Neural Radiance Fields for Scene Reconstruction
Yu Chen, Gim Hee Lee
In this work, we introduce SCALAR-NeRF, a novel framework tailored for scalable large-scale neural scene reconstruction. We structure the neural representation as an encoder-decode…
Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
Zhiwen Yan, Weng Fei Low, Yu Chen +1
3D Gaussians have recently emerged as a highly efficient representation for 3D reconstruction and rendering. Despite its high rendering quality and speed at high resolutions, they…
Animate124: Animating One Image to 4D Dynamic Scene
Yuyang Zhao, Zhiwen Yan, Enze Xie +3
We introduce Animate124 (Animate-one-image-to-4D), the first work to animate a single in-the-wild image into 3D video through textual motion descriptions, an underexplored problem…
GNeSF: Generalizable Neural Semantic Fields
Hanlin Chen, Chen Li, Mengqi Guo +2
3D scene segmentation based on neural implicit representation has emerged recently with the advantage of training only on 2D supervision. However, existing approaches still require…