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20212024
most citedImproving Visual Quality of Image Synthesis by A Token-based Generator with Transformers

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models

Zhening Xing, Gereon Fox, Yanhong Zeng +4

Large Language Models have shown remarkable efficacy in generating streaming data such as text and audio, thanks to their temporally uni-directional attention mechanism, which mode…

cs.CV2024

FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds

Yiming Zhang, Yicheng Gu, Yanhong Zeng +4

We study Neural Foley, the automatic generation of high-quality sound effects synchronizing with videos, enabling an immersive audio-visual experience. Despite its wide range of ap…

eess.IV2024

Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior

Baiang Li, Sizhuo Ma, Yanhong Zeng +5

Capturing High Dynamic Range (HDR) scenery using 8-bit cameras often suffers from over-/underexposure, loss of fine details due to low bit-depth compression, skewed color distribut…

cs.CV20222 cited

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

Fuzhi Yang, Huan Yang, Yanhong Zeng +2

Blind super-resolution (SR) aims to recover high-quality visual textures from a low-resolution (LR) image, which is usually degraded by down-sampling blur kernels and additive nois…

cs.CV20215 cited

Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers

Yanhong Zeng, Huan Yang, Hongyang Chao +2

We present a new perspective of achieving image synthesis by viewing this task as a visual token generation problem. Different from existing paradigms that directly synthesize a fu…