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stochsync stochastic diffusion synchronization for image generation in arbitrary spaces stochsync stochastic diffusion synchronization for image generation in arbitrary spaces kyeongmin yeo kaist jaihoon kim kaist minhyuk sung kaist iclr 2025 equal contribution paper arxiv code assorted mesh textures and panoramas generated using stochsync including one in the background environment map which is a 360 panorama stochsync extends the capabilities of image diffusion models trained in square spaces to produce images in arbitrary spaces such as cylinders spheres tori and mesh surfaces abstract we propose stochsync texttt stochsync stochsync a method for generating images in arbitrary spaces such as 360 panoramas or textures on 3d surfaces using a pretrained image diffusion model the main challenge is bridging the gap between the 2d images understood by the diffusion model instance space x mathcal x x and the target space for image generation canonical space z mathcal z z unlike previous methods that struggle without strong conditioning or lack fine details stochsync texttt stochsync stochsync combines the strengths of diffusion synchronization and score distillation sampling to perform effectively even with weak conditioning our experiments show that stochsync texttt stochsync stochsync outperforms prior finetuning based methods especially in 360 panorama generation overall idea our approach combines the strengths of two existing methods diffusion synchronization ds excels in producing detailed images but struggles with coherence across views when instance and canonical spaces are not pixel aligned often requiring strong guidance like depth maps score distillation sampling sds achieves coherent results but lacks fine details and high quality textures we observed that the coherence in sds comes from using maximum stochasticity in the denoising process specifically setting the noise level σ t sigma_t σ t to its highest value during each reverse diffusion step in ddim by incorporating maximum stochasticity into the reverse diffusion process of ds along with other methods to further enhance quality we achieve the coherence benefits of sds while retaining the detailed quality of ds 360 panorama generation stochsync ours sds stochsync ours sdi stochsync ours ism stochsync ours mvdiffution stochsync ours panfusion stochsync ours l magic 3d mesh texturing an acrylic crate a driftwood hearth an iridescent lion a marionette doll a gear clock a cobalt ceramic mug a graffiti denim bag a porcelain owl a floral hydrant a marble piano non euclidean image generation sphere fantasy map bird s eye view honeycomb texture marbled stone texture molten lava texture paint splatter texture pile of gemstones polished marble surface snack texture fluffy cotton texture plush fur texture vegetables texture minimalist fantasy map medieval fantasy map torus fantasy map bird s eye view honeycomb texture marbled stone texture molten lava texture paint splatter texture pile of gemstones polished marble surface snack texture fluffy cotton texture plush fur texture vegetables texture minimalist fantasy map medieval fantasy map this page was built using roman hauksson s academic project page template which was adapted from eliahu horwitz s template which was adapted from keunhong park s project page for nerfies it is licensed under a creative commons attribution sharealike 4 0 international license
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