暂未收录效果图
查看技能说明MotionDirector
showlab
[ECCV 2024 Oral] MotionDirector: Motion Customization of Text-to-Video Diffusion Models.
OPENAGENTSKILL / DIRECTORY
为下一项任务找到合适的技能。探索适用于 Codex、Claude Code、Cursor 等 Agent 的工具。
100 Skills
搜索结果: 100
暂未收录效果图
查看技能说明showlab
[ECCV 2024 Oral] MotionDirector: Motion Customization of Text-to-Video Diffusion Models.
暂未收录效果图
查看技能说明thu-ml
Official implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025) , UltraViCo (ICLR 2026) and UltraImage
暂未收录效果图
查看技能说明thu-ml
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal For…
暂未收录效果图
查看技能说明kandinskylab
暂未收录效果图
查看技能说明NVlabs
rCM & Causal-rCM: Leading and Unified Algorithms/Infrastructures for Bidirectional/Autoregressive Video Diffusion Distillation at Scale
暂未收录效果图
查看技能说明IceClear
[ICLR2026] SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
暂未收录效果图
查看技能说明Tencent-Hunyuan
HunyuanImage-2.1: An Efficient Diffusion Model for High-Resolution (2K) Text-to-Image Generation
暂未收录效果图
查看技能说明Vchitect
[ICLR 2024] SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
暂未收录效果图
查看技能说明ali-vilab
UniAnimate-DiT: Human Image Animation with Large-Scale Video Diffusion Transformer
暂未收录效果图
查看技能说明hustvl
[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
暂未收录效果图
查看技能说明TheDesignFounder
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
暂未收录效果图
查看技能说明jolibrain
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
暂未收录效果图
查看技能说明dailenson
Official Code for ECCV 2024 paper — One-Shot Diffusion Mimicker for Handwritten Text Generation
暂未收录效果图
查看技能说明Boese0601
[ICML 2024] MagicPose(also known as MagicDance): Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
暂未收录效果图
查看技能说明neggles
暂未收录效果图
查看技能说明guyyariv
[ICML 2026] Official implementation for "DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion".