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researcher

Lin Gao

4 papers hereh-index 4146 citations11 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.GR2
same name
  • Lin Gao — 38 papers, h 27
  • Lin Gao — 23 papers, h 43
  • Lin Gao — 13 papers, h 14
  • Lin Gao — 7 papers, h 6
  • Lin Gao — 5 papers, h 33
  • Lin Gao — 5 papers, h 6

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
20182026
most citedLearning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences

12 citations · 13 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

IM-Animation: An Implicit Motion Representation for Identity-decoupled Character Animation

Zhufeng Xu, Xuan Gao, Feng-Lin Liu +6

Recent progress in video diffusion models has markedly advanced character animation, which synthesizes motioned videos by animating a static identity image according to a driving v…

cs.CV2024

NeRF-Texture: Synthesizing Neural Radiance Field Textures

Yi-Hua Huang, Yan-Pei Cao, Yu-Kun Lai +2

Texture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast,…

cs.GR2024★ 1 cited

SketchDream: Sketch-based Text-to-3D Generation and Editing

Feng-Lin Liu, Hongbo Fu, Yu-Kun Lai +1

Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed…

cs.GR2018★ 12 cited

Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences

Yi-Ling Qiao, Lin Gao, Yu-Kun Lai +1

In this paper, we present a novel method for learning to synthesize 3D mesh animation sequences with long short-term memory (LSTM) blocks and mesh-based convolutional neural networ…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.