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Feng Liang

4 papers hereh-index 3150 citations4 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
same name
  • Feng Liang — 9 papers, h 20
  • Feng Liang — 7 papers, h 13
  • Feng Liang — 6 papers, h 4
  • Feng Liang — 6 papers, h 4
  • Feng Liang — 5 papers, h 6
  • Feng Liang — 4 papers, h 0

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
20232026
most citedFlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery

Dennis Menn, Yuedong Yang, Bokun Wang +6

Current video generation models suffer from high computational latency, making real-time applications prohibitively costly. In this paper, we address this limitation by exploiting…

cs.CV2025

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts

Feng Liang, Haoyu Ma, Zecheng He +10

Video personalization, which generates customized videos using reference images, has gained significant attention. However, prior methods typically focus on single-concept personal…

cs.CV2023★ 2 cited

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis

Feng Liang, Bichen Wu, Jialiang Wang +8

Diffusion models have transformed the image-to-image (I2I) synthesis and are now permeating into videos. However, the advancement of video-to-video (V2V) synthesis has been hampere…

cs.CV2023

Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis

Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang +6

In this paper, we introduce Fairy, a minimalist yet robust adaptation of image-editing diffusion models, enhancing them for video editing applications. Our approach centers on the…

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