activity
20182026
most citedSurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis

34 citations · 34 across the 7 of their papers we have counts for

collaborators

5 papers

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV202034 cited

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…

cs.CL2018

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…