34 citations · 40 across the 9 of their papers we have counts for
10 papers
GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning
Yufei Jia, Heng Zhang, Ziheng Zhang +39
Embodied AI research is undergoing a shift toward vision-centric perceptual paradigms. While massively parallel simulators have catalyzed breakthroughs in proprioception-based loco…
HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset
Zedong Chu, Feng Xiong, Meiduo Liu +5
With the rapid evolution of 3D generation algorithms, the cost of producing 3D humanoid character models has plummeted, yet the field is impeded by the lack of a comprehensive data…
3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation
Jinzhi Zhang, Feng Xiong, Mu Xu
Autoregressive transformers have revolutionized high-fidelity image generation. One crucial ingredient lies in the tokenizer, which compresses high-resolution image patches into ma…
G3PT: Unleash the power of Autoregressive Modeling in 3D Generation via Cross-scale Querying Transformer
Jinzhi Zhang, Feng Xiong, Mu Xu
Autoregressive transformers have revolutionized generative models in language processing and shown substantial promise in image and video generation. However, these models face sig…
XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold
Guangyu Wang, Jinzhi Zhang, Fan Wang +2
We propose XScale-NVS for high-fidelity cross-scale novel view synthesis of real-world large-scale scenes. Existing representations based on explicit surface suffer from discretiza…
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
Haiyang Ying, Yixuan Yin, Jinzhi Zhang +4
Towards holistic understanding of 3D scenes, a general 3D segmentation method is needed that can segment diverse objects without restrictions on object quantity or categories, whil…
PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis
Haiyang Ying, Baowei Jiang, Jinzhi Zhang +4
This paper proposes a method for fast scene radiance field reconstruction with strong novel view synthesis performance and convenient scene editing functionality. The key idea is t…
RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse Gradient Descent
Yijie Deng, Lei Han, Tianpeng Lin +3
With the rise of Extended Reality (XR) technology, there is a growing need for real-time light field reconstruction from sparse view inputs. Existing methods can be classified into…
SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis
Mengqi Ji, Jinzhi Zhang, Qionghai Dai +1
Multi-view stereopsis (MVS) tries to recover the 3D model from 2D images. As the observations become sparser, the significant 3D information loss makes the MVS problem more challen…
Proximal Policy Optimization and its Dynamic Version for Sequence Generation
Yi-Lin Tuan, Jinzhi Zhang, Yujia Li +1
In sequence generation task, many works use policy gradient for model optimization to tackle the intractable backpropagation issue when maximizing the non-differentiable evaluation…