image-to-video | BestHub

Kuaishou Large Model

Jun 27, 2024 · Artificial Intelligence

How I2V-Adapter Turns Images into Videos with Minimal Training

Fast‑forwarding image‑to‑video generation, the article introduces I2V‑Adapter, a lightweight plug‑in for Stable Diffusion‑based video diffusion models that converts a single static image into a coherent video without altering the original T2V architecture, and details its design, frame‑similarity prior, experimental results, and real‑world applications.

AII2V-AdapterStable Diffusion

0 likes · 9 min read

How I2V-Adapter Turns Images into Videos with Minimal Training

Kuaishou Tech

Jun 26, 2024 · Artificial Intelligence

I2V-Adapter: A Lightweight Image‑to‑Video Adapter for Stable Diffusion Video Diffusion Models

The I2V-Adapter paper introduces a plug‑and‑play lightweight module that enables static images to be converted into dynamic videos using Stable Diffusion‑based text‑to‑video diffusion models without altering the original architecture or pretrained parameters, achieving competitive quality with far less training cost.

AII2V-AdapterStable Diffusion

0 likes · 8 min read

I2V-Adapter: A Lightweight Image‑to‑Video Adapter for Stable Diffusion Video Diffusion Models

DaTaobao Tech

Mar 25, 2024 · Artificial Intelligence

Survey of AIGC Video Generation Algorithms

Since 2023, AI‑generated video research has expanded across six algorithmic categories—text‑to‑video, image‑to‑video, editing, style transfer, human motion, and long‑video generation—highlighting works such as CogVideo, Imagen Video, MagicVideo, ControlVideo, DCTNet, NUWA‑XL and OpenAI’s Sora, while analysis shows short‑clip diffusion models excel, editing remains costly, style transfer is efficient, and truly long, temporally consistent videos remain an open challenge.

AIAIGCVideo Editing

0 likes · 13 min read

Survey of AIGC Video Generation Algorithms

DataFunTalk

Mar 18, 2024 · Artificial Intelligence

High-Fidelity Image-to-Video Generation for E‑commerce Product Motion with AtomoVideo and Noise Rectification

This article presents Alibaba's research on using diffusion‑based AIGC techniques, including a training‑free Noise Rectification module and the AtomoVideo model, to automatically convert static product images into high‑quality, detail‑preserving video motions for e‑commerce advertising.

AIGCAtomoVideoNoise Rectification

0 likes · 15 min read

High-Fidelity Image-to-Video Generation for E‑commerce Product Motion with AtomoVideo and Noise Rectification

Alimama Tech

Mar 14, 2024 · Artificial Intelligence

High-Fidelity Image-to-Video Generation for E-commerce with AtomoVideo and Noise Rectification

Alibaba’s AI team introduced AtomoVideo, a diffusion‑based image‑to‑video generator enhanced by a training‑free Noise Rectification module that adds and corrects controlled noise to eliminate first‑frame errors, enabling merchants to automatically create high‑fidelity 4‑second 720p product videos with strong temporal consistency for e‑commerce advertising.

AIAIGCdiffusion model

0 likes · 10 min read

High-Fidelity Image-to-Video Generation for E-commerce with AtomoVideo and Noise Rectification