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20222025
most citedA Survey on Video Diffusion Models

6 citations · 20 across the 16 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

StableAnimator: High-Quality Identity-Preserving Human Image Animation

Shuyuan Tu, Zhen Xing, Xintong Han +4

Current diffusion models for human image animation struggle to ensure identity (ID) consistency. This paper presents StableAnimator, the first end-to-end ID-preserving video diffus…

cs.CV2024

GenRec: Unifying Video Generation and Recognition with Diffusion Models

Zejia Weng, Xitong Yang, Zhen Xing +2

Video diffusion models are able to generate high-quality videos by learning strong spatial-temporal priors on large-scale datasets. In this paper, we aim to investigate whether suc…

cs.CV2024

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms

Miaosen Zhang, Yixuan Wei, Zhen Xing +8

Modern vision models are trained on very large noisy datasets. While these models acquire strong capabilities, they may not follow the user's intent to output the desired results i…

cs.CV2024

AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction

Zhen Xing, Qi Dai, Zejia Weng +2

Text-guided video prediction (TVP) involves predicting the motion of future frames from the initial frame according to an instruction, which has wide applications in virtual realit…

cs.CV2024★ 2 cited

GeoGS3D: Single-view 3D Reconstruction via Geometric-aware Diffusion Model and Gaussian Splatting

Qijun Feng, Zhen Xing, Zuxuan Wu +1

We introduce GeoGS3D, a novel two-stage framework for reconstructing detailed 3D objects from single-view images. Inspired by the success of pre-trained 2D diffusion models, our me…