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20232025
most citedAdvances in 3D Generation: A Survey

11 citations · 19 across the 11 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis

Xiangjun Gao, Xiaoyu Li, Chaopeng Zhang +4

In this work, we propose a method to address the challenge of rendering a 3D human from a single image in a free-view manner. Some existing approaches could achieve this by using g…

cs.CV2023

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion

Jingbo Zhang, Xiaoyu Li, Qi Zhang +3

Generating a 3D human model from a single reference image is challenging because it requires inferring textures and geometries in invisible views while maintaining consistency with…

cs.CV2023★ 1 cited

DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing

Jia-Wei Liu, Yan-Pei Cao, Jay Zhangjie Wu +6

Despite recent progress in diffusion-based video editing, existing methods are limited to short-length videos due to the contradiction between long-range consistency and frame-wise…

cs.CV2023★ 1 cited

HiFi-123: Towards High-fidelity One Image to 3D Content Generation

Wangbo Yu, Li Yuan, Yan-Pei Cao +6

Recent advances in diffusion models have enabled 3D generation from a single image. However, current methods often produce suboptimal results for novel views, with blurred textures…

cs.CV2023★ 3 cited

Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail

Yiyu Zhuang, Qi Zhang, Ying Feng +6

We present LoD-NeuS, an efficient neural representation for high-frequency geometry detail recovery and anti-aliased novel view rendering. Drawing inspiration from voxel-based repr…

cs.CV2023

Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video

Xiuzhe Wu, Pengfei Hu, Yang Wu +6

Synthesizing realistic videos according to a given speech is still an open challenge. Previous works have been plagued by issues such as inaccurate lip shape generation and poor im…