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and (13), part (12), shape (12), generation (10), salad (8), diffusion (8), completion (7), level (6), the (6), shuffle (5), manipulation (4), ours (4), gaussians (4), guided (4), with (4), 2023 (3), koo (3), arxiv (3), comparison (3), text (3), airplanes (3), chairs (3), model (3), our (3), editing (3), dimensional (3), latent (2), for (2), juil (2), seungwoo (2), yoo (2), minh (2), hieu (2), nguyen (2), minhyuk (2), sung (2), bibtex (2), neural (2), wavelet (2), diff (2), mathbf (2), output (2), mesh (2), input (2), autosdf (2), rightarrow (2), refined (2), mixing (2), refinement (2), huggingface (2), demo (2), cascaded (2), implicit (2), representation (2), models (2), capabilities (2), data (2), has (2), their (2), tasks (2), propose (2), high (2), parts (2), subspace (2), encoding (2), chair (2), paper, article, 2023salad, title, author, year, journal, preprint, 2303, 12236, shapeformer, bounding, box, guassians, spaghetti, voxel, gan, lion, pvd, dpm, more, results, completed, selected, source, tables, present, based, achieves, state, art, quality, also, enables, without, any, additional, training, conditional, setup, have, demonstrated, impressive, well, zero, shot, via, reverse, process, recent, research, focused, improving, various, representations, while, absence, structural, information, limited, capability, thus, novel, using, effectively, learn, embedding, vectors, framework, learning, first, low, extrinsic, parameters, then, other, intrinsic, attributes, experiments, demonstrate, outperformance, method, compared, previous, ones, both, abstract, rectangle, back, four, legs, code, pdf, denotes, equal, contribution, kaist, iccv,


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salad salad part level latent diffusion for 3d shape generation and manipulation iccv 2023 juil koo seungwoo yoo minh hieu nguyen minhyuk sung kaist denotes equal contribution arxiv pdf code demo huggingface bibtex a shape generation shape a shape b a b a b refined b part mixing refinement a chair with four legs rectangle back chair c text guided part completion abstract we present a cascaded diffusion model based on a part level implicit 3d representation our model achieves state of the art generation quality and also enables part level shape editing and manipulation without any additional training in conditional setup diffusion models have demonstrated impressive capabilities in data generation as well as zero shot completion and editing via a guided reverse process recent research on 3d diffusion models has focused on improving their generation capabilities with various data representations while the absence of structural information has limited their capability in completion and editing tasks we thus propose our novel diffusion model using a part level implicit representation to effectively learn diffusion with high dimensional embedding vectors of parts we propose a cascaded framework learning diffusion first on a low dimensional subspace encoding extrinsic parameters of parts and then on the other high dimensional subspace encoding intrinsic attributes in the experiments we demonstrate the outperformance of our method compared with the previous ones both in generation and part level completion and manipulation tasks huggingface demo shape generation chairs airplanes tables shuffle part completion chairs airplanes shuffle source selected gaussians completed shape part mixing and refinement chairs airplanes shuffle shape a shape b a rightarrow b a rightarrow b refined text guided shape generation shuffle autosdf salad ours autosdf salad ours text guided part completion shuffle input mesh input gaussians output mesh output gaussians more comparison results comparison of shape generation dpm pvd lion voxel gan neural wavelet spaghetti diff of mathbf z diff of mathbf p _i guassians salad ours comparison of part completion gt bounding box gaussians shapeformer neural wavelet salad ours bibtex article koo 2023salad title salad part level latent diffusion for 3d shape generation and manipulation author juil koo and seungwoo yoo and minh hieu nguyen and minhyuk sung year 2023 journal arxiv preprint arxiv 2303 12236 salad paper 2023
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