3D Shape Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 54 papers with code (105 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Combinatorial 3D Shape Generation via Sequential Assembly
  16 Apr 2020 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  To alleviate this consequence induced by a huge number of feasible combinations, we propose a combinatorial 3D shape generation framework.
• Learning elementary structures for 3D shape generation and matching
  13 Aug 2019 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  We propose to represent shapes as the deformation and combination of learnable elementary 3D structures, which are primitives resulting from training over a collection of shape.
• TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
  10 Feb 2025 2 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  Specifically, we propose: 1) A large-scale rectified flow transformer for 3D shape generation, achieving state-of-the-art fidelity through training on extensive, high-quality data.
• DreamStone: Image as Stepping Stone for Text-Guided 3D Shape Generation
  24 Mar 2023 2 repositories listed
  The core of our approach is a two-stage feature-space alignment strategy that leverages a pre-trained single-view reconstruction (SVR) model to map CLIP features to shapes: to begin with, map the CLIP image feature to…
• SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
  21 Mar 2023 2 repositories listed
  We present a cascaded diffusion model based on a part-level implicit 3D representation.
• LION: Latent Point Diffusion Models for 3D Shape Generation
  12 Oct 2022 2 repositories listed
  To advance 3D DDMs and make them useful for digital artists, we require (i) high generation quality, (ii) flexibility for manipulation and applications such as conditional synthesis and shape interpolation, and (iii)…
• ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
  9 Sep 2022 2 repositories listed
  Text-guided 3D shape generation remains challenging due to the absence of large paired text-shape data, the substantial semantic gap between these two modalities, and the structural complexity of 3D shapes.
• StructureNet: Hierarchical Graph Networks for 3D Shape Generation
  1 Aug 2019 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We introduce StructureNet, a hierarchical graph network which (i) can directly encode shapes represented as such n-ary graphs; (ii) can be robustly trained on large and complex shape families; and (iii) can be used to…
• 3D Point Capsule Networks
  27 Dec 2018 2 repositories listed
  In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
• Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
  1 Dec 2016 2 repositories listed
  Although our 3D-EPN outperforms state-of-the-art completion method, the main contribution in our work lies in the combination of a data-driven shape predictor and analytic 3D shape synthesis.
• Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
  23 May 2025 1 repository listed Syntology ran 2 of 10 samples · 8 unverified
  Generating high-resolution 3D shapes using volumetric representations such as Signed Distance Functions (SDFs) presents substantial computational and memory challenges.
• OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation
  14 Apr 2025 1 repository listed
  In this paper, we introduce OctGPT, a novel multiscale autoregressive model for 3D shape generation that dramatically improves the efficiency and performance of prior 3D autoregressive approaches, while rivaling or…
• Unleashing Vecset Diffusion Model for Fast Shape Generation
  20 Mar 2025 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)
  To address these challenges, we present FlashVDM, a systematic framework for accelerating both VAE and DiT in VDM.
• 3D Shape Completion using Multi-Resolution Spectral Encoding
  1 Mar 2025 1 repository listed
  These attention maps are leveraged differently in pretraining and in the later training and inference stages of our approach to produce the reconstructed 3D shape.
• Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation
  20 Feb 2025 1 repository listed
  This report presents a comprehensive framework for generating high-quality 3D shapes and textures from diverse input prompts, including single images, multi-view images, and text descriptions.
• OctFusion: Octree-based Diffusion Models for 3D Shape Generation
  27 Aug 2024 1 repository listed
  Diffusion models have emerged as a popular method for 3D generation.
• Score Distillation via Reparametrized DDIM
  24 May 2024 1 repository listed
  To help explain this discrepancy, we show that the image guidance used in Score Distillation can be understood as the velocity field of a 2D denoising generative process, up to the choice of a noise term.
• Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
  23 May 2024 1 repository listed Syntology ran 1 of 7 samples · 6 unverified
  In this work, we introduce Direct3D, a native 3D generative model scalable to in-the-wild input images, without requiring a multiview diffusion model or SDS optimization.
• UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
  10 Apr 2024 1 repository listed
  In this work, we present UDiFF, a 3D diffusion model for unsigned distance fields (UDFs) which is capable to generate textured 3D shapes with open surfaces from text conditions or unconditionally.
• DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
  23 Jan 2024 1 repository listed Syntology ran 17 of 21 samples · 4 unverified
  Arguably, this architecture limits the expressive power of generative models and results in low-quality INR generation.
• XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
  6 Dec 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  We present XCube (abbreviated as 𝒳³), a novel generative model for high-resolution sparse 3D voxel grids with arbitrary attributes.
• EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
  3 Nov 2023 1 repository listed
  This paper presents a new text-guided technique for generating 3D shapes.
• ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields
  2 Oct 2023 1 repository listed
  Our proposed implicit occupancy representation enables efficient point classification, effectively discerning points belonging to the surface from non-surface points.
• SLiMe: Segment Like Me
  6 Sep 2023 1 repository listed Syntology ran 7 of 7 samples · 0 unverified
  Then, using the extracted attention maps, the text embeddings of Stable Diffusion are optimized such that, each of them, learn about a single segmented region from the training image.
• 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
  26 Jul 2023 1 repository listed
  Our method utilizes implicit functions as the 3D shape representation and combines a novel latent-space GAN with a linear subspace model to discover semantic dimensions in the local latent space of 3D shapes.
• DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
  4 Jul 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 1 pointer-only (licence)
  Recent Diffusion Transformers (e.
• Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
  29 Jun 2023 1 repository listed
  We present a novel alignment-before-generation approach to tackle the challenging task of generating general 3D shapes based on 2D images or texts.
• 3D VR Sketch Guided 3D Shape Prototyping and Exploration
  19 Jun 2023 1 repository listed
  3D shape modeling is labor-intensive, time-consuming, and requires years of expertise.
• 3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
  18 Mar 2023 1 repository listed
  We develop a generalized 3D shape generation prior model, tailored for multiple 3D tasks including unconditional shape generation, point cloud completion, and cross-modality shape generation, etc.
• 3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-Identication
  9 Mar 2023 1 repository listed
  However, existing Re-ID methods usually generate 3D body shapes without considering identity modeling, which severely weakens the discriminability of 3D human shapes.

Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.