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Peng Dai

9 papers hereh-index 8378 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Peng Dai — 18 papers, h 19
  • Peng Dai — 9 papers, h 6
  • Peng Dai — 6 papers, h 6
  • Peng Dai — 5 papers, h 4
  • Peng Dai — 3 papers, h 2
  • Peng Dai — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedNeural Point Cloud Rendering via Multi-Plane Projection

8 citations · 13 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

Texture Generation on 3D Meshes with Point-UV Diffusion

Xin Yu, Peng Dai, Wenbo Li +3

In this work, we focus on synthesizing high-quality textures on 3D meshes. We present Point-UV diffusion, a coarse-to-fine pipeline that marries the denoising diffusion model with…

cs.CV2023

Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur

Peng Dai, Yinda Zhang, Xin Yu +2

Rendering novel view images is highly desirable for many applications. Despite recent progress, it remains challenging to render high-fidelity and view-consistent novel views of la…

cs.CV2023

Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation

Xiaoyang Lyu, Peng Dai, Zizhang Li +4

Implicit neural rendering, which uses signed distance function (SDF) representation with geometric priors (such as depth or surface normal), has led to impressive progress in the s…

cs.CV2023

DreamStone: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li +2

In this paper, we present a new text-guided 3D shape generation approach DreamStone that uses images as a stepping stone to bridge the gap between text and shape modalities for gen…

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