activity
20232026
most citedVideoLCM: Video Latent Consistency Model

8 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

AffineTok: Semantic Affine Consistency for Diffusion-Friendly Visual Tokenizer

Junqiu Yu, Pandeng Li, Yikai Wang +11

Visual tokenizers increasingly inject semantic supervision into latent spaces to make downstream diffusion easier. Yet how these semantics should be organized to facilitate denoisi…

cs.CV2026

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation

Yujie Wei, Yujin Han, Zhekai Chen +20

Video generation is rapidly evolving from single-shot synthesis to complex multi-shot audio-video (MSAV) narratives to meet real-world demands. However, evaluating such frontier mo…

cs.CV2026

Missing No More: Dictionary-Guided Cross-Modal Image Fusion under Missing Infrared

Yafei Zhang, Meng Ma, Huafeng Li +1

Infrared-visible (IR-VIS) image fusion is vital for perception and security, yet most methods rely on the availability of both modalities during training and inference. When the in…

cs.CV2026

BridgeDiff: Bridging Human Observations and Flat-Garment Synthesis for Virtual Try-Off

Shuang Liu, Ao Yu, Linkang Cheng +5

Virtual try-off (VTOFF) aims to recover canonical flat-garment representations from images of dressed persons for standardized display and downstream virtual try-on. Prior methods…

cs.CV2025

Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance

Ruihang Chu, Yefei He, Zhekai Chen +10

We present Wan-Move, a simple and scalable framework that brings motion control to video generative models. Existing motion-controllable methods typically suffer from coarse contro…

cs.CV2025

Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance

Yujie Wei, Shiwei Zhang, Hangjie Yuan +8

Mixture-of-Experts (MoE) has emerged as a powerful paradigm for scaling model capacity while preserving computational efficiency. Despite its notable success in large language mode…

cs.CV2023★ 8 cited

VideoLCM: Video Latent Consistency Model

Xiang Wang, Shiwei Zhang, Han Zhang +4

Consistency models have demonstrated powerful capability in efficient image generation and allowed synthesis within a few sampling steps, alleviating the high computational cost in…

cs.CV2023★ 6 cited

DreamVideo: Composing Your Dream Videos with Customized Subject and Motion

Yujie Wei, Shiwei Zhang, Zhiwu Qing +6

Customized generation using diffusion models has made impressive progress in image generation, but remains unsatisfactory in the challenging video generation task, as it requires t…