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Search: Diffusion-Explorer
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Showing 10 results from 40
tim-speed/flexdiffuse
GitHub Python MIT LicenseAdaptation of Stable Diffusion with extra prompt guidance from images... An attempt at making the most flexible pipeline that will allow users to fully explore the capabilities of stable-diffusion.
External source
GitHub
buxiangzhiren/VD-IT
GitHub Python OtherCode for the paper "Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation", ECCV 2024
External source
GitHub
lukasuz/MotionDreamer
GitHub Python GNU General Public License v3.0[3DV 2025] MotionDreamer: Exploring Semantic Video Diffusion features for Zero-Shot 3D Mesh Animation
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GitHub
Xrvitd/ComboStoc
GitHub Python GNU Affero General Public License v3.0Code of ComboStoc, the diffusion models and training/sampling code for our paper exploring the Combinatorial Stochasticity for Diffusion Generative Models.
External source
GitHub
Angusliuuu/Awesome-Controllable-Generative-Models-Papers
GitHubA curated list of recent papers (2023โ2025) on controllable generative models, covering diffusion-based architectures with fine-grained control, attention interpretation, spectral manipulation, and structure-preserving image editing. Ideal for researchers and developers exploring controllable syn... Read more
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GitHub
yue-zhongqi/diti
GitHub Jupyter NotebookCode release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
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GitHub
GAP-LAB-CUHK-SZ/stable-sim2real
GitHub Python Apache License 2.0Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion (ICCV 2025 Highlight)
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GitHub
AnilOsmanTur/video_anomaly_diffusion
GitHub Python[ICIP 2023] Exploring Diffusion Models For Unsupervised Video Anomaly Detection
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GitHub
SNU-VGILab/exploring-mmdit
GitHub PythonExploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
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GitHub
zhangyitonggg/dllm4code
GitHub PythonOffical implementation of our paper "Exploring the Potential of Diffusion Large Language Models in Code Generation".
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GitHub
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