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Tianxing Wu

Nanyang Technological University, S-Lab, Singapore

4 papers hereh-index 112.7k citations17 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
affiliations
  • Nanyang Technological University, S-Lab, Singapore
HomepageORCID 0000-0001-7345-0254
same name
  • Tianxing Wu — 6 papers, h 4
  • Tianxing Wu — 3 papers, h 1
  • Tianxing Wu — 3 papers, h 1
  • Tianxing Wu — 2 papers, h 14
  • Tianxing Wu — 2 papers, h 3
  • Tianxing Wu — 1 paper, h 4

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

collaborators

4 papers

cs.CV2026

LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-Resolution

Tianxing Wu, Zheng Chen, Cirou Xu +5

One-Step Diffusion Models have demonstrated promising capability and fast inference in video super-resolution (VSR) for real-world. Nevertheless, the substantial model size and hig…

cs.CV2024

Robust Sequential DeepFake Detection

Rui Shao, Tianxing Wu, Ziwei Liu

Since photorealistic faces can be readily generated by facial manipulation technologies nowadays, potential malicious abuse of these technologies has drawn great concerns. Numerous…

cs.CV2024

DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection

Rui Shao, Tianxing Wu, Liqiang Nie +1

Existing deepfake detection methods fail to generalize well to unseen or degraded samples, which can be attributed to the over-fitting of low-level forgery patterns. Here we argue…

cs.CV2024

ReVersion: Diffusion-Based Relation Inversion from Images

Ziqi Huang, Tianxing Wu, Yuming Jiang +2

Diffusion models gain increasing popularity for their generative capabilities. Recently, there have been surging needs to generate customized images by inverting diffusion models f…

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