CompVis - Computer Vision and Learning LMU Munich
Computer Vision and Learning research group at Ludwig Maximilian University of Munich (formerly Computer Vision Group at Heidelberg University)
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stable-diffusion
stable-diffusion PublicA latent text-to-image diffusion model
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latent-diffusion
latent-diffusion PublicHigh-Resolution Image Synthesis with Latent Diffusion Models
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taming-transformers
taming-transformers PublicTaming Transformers for High-Resolution Image Synthesis
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adaptive-style-transfer
adaptive-style-transfer Publicsource code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
Repositories
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- EDGS Public
A PyTorch implementation of the paper "EDGS: Eliminating Densification for Efficient Convergence of 3DGS"
CompVis/EDGS’s past year of commit activity - cleandift Public
CompVis/cleandift’s past year of commit activity - tread Public
CompVis/tread’s past year of commit activity - zigma Public
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
CompVis/zigma’s past year of commit activity - mask Public Forked from CompVis/discrete-interpolants
The official implementation of "[MASK] is All You Need"
CompVis/mask’s past year of commit activity - distilldift Public
DistillDIFT: Distillation of Diffusion Features for Semantic Correspondence (WACV 2025)
CompVis/distilldift’s past year of commit activity
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