4 papers · 1 filter
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…
Global-guided Focal Neural Radiance Field for Large-scale Scene Rendering
Mingqi Shao, Feng Xiong, Hang Zhang +4
Neural radiance fields~(NeRF) have recently been applied to render large-scale scenes. However, their limited model capacity typically results in blurred rendering results. Existin…