Papers 3D Generation
“3D Generation” 태그가 달린 논문 629편 · 필터 해제
SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image
Part-aware 3D asset generation enables applications such as editing, articulation, simulation, and fabrication, yet existing methods can generate visually complete individual parts without ensuring that they form a valid…
3D GenerationGuiding Image-to-3D Generation with Test-Time Partial Observations
Image-to-3D models can generate visually compelling 3D assets from a single RGB image, but their geometry is often only loosely constrained by the available observations, limiting their use in applications that require g…
3D GenerationZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes
Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically organize latent representations either over spatial regions or as fixed-size sets of global tokens, both suffer…
3D GenerationCyc3D: Evaluating Cyclic Structural Stability and Asset Usability in Image-to-3D Generation
Image-conditioned 3D generation has advanced rapidly, yet existing evaluation protocols largely judge rendered-view plausibility and semantic alignment, overlooking whether a generator forms a stable 3D interpretation an…
3D GenerationLuce: Relightable Gaussians for 3D Asset Generation
High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include phy…
3D GenerationBlock3D: Efficient Text-to-3D Generation via Block-Wise Diffusion
While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains challenging. Existing text-to-3D methods either decode discrete shape tokens autoregressively or iterative…
3D GenerationSemanticSlider3D: Training-Free Continuous Semantic Editing for 3D Objects
Fine-grained control over continuous semantic attributes of 3D objects is essential for 3D content creation, but is not well supported by conventional 3D modeling workflows or prompt-based interaction with existing gener…
Image Generation3D GenerationMegaParts: Scaling Part-Aware 3D Object Generation to 300 Parts via Token-Efficient Autoregressive Modeling
Part-aware 3D object generation is essential for graphics applications such as controllable modeling, editing, and articulation, where objects are represented as coherent assemblies of semantic parts. However, existing p…
3D GenerationSCULPT: Subtractive Composition for 3D Part Generation
Part-aware 3D generation aims to create digital assets that are coherent as complete objects while exposing structural parts for editing, material assignment, animation, and reuse. Existing methods impose this structure …
3D GenerationPixSDS: Why Latent SDS Makes Noisy Pixels
Score Distillation Sampling (SDS) enables text-to-3D generation by optimizing rendered images with a pretrained diffusion prior, but latent SDS often produces structured color artifacts and high-frequency texture noise. …
3D GenerationTo See a World in a Living Context: Unified Indoor-Outdoor Urban World Generation
Text-driven 3D generation has advanced rapidly in creating large-scale outdoor environments and detailed indoor scenes, but these domains are usually synthesized independently, lacking the correspondence required for a c…
3D GenerationHunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing
Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate understanding, generation, and editing. However, unified 3D modeling remains constrained by scarce multimoda…
Image Generation3D GenerationROAD: Reciprocal-Objective Alignment of Discriminative Semantics for 3D Shape Generation
High-fidelity 3D generation predominantly relies on scaling model capacity and data, which incurs prohibitive computational costs. This paradigm typically requires learning geometry from scratch and overlooks the rich se…
3D GenerationDiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation
Existing 3D generative models predominantly rely on implicit volumetric representations, which enforce watertight topology and struggle to represent thin-shell and non-manifold geometries such as garments. Geometry image…
3D GenerationHallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation
While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D diffusion supervision without explicit mechanisms for geometric consistency, leading to spatial hallucina…
3D Generation3D-DefectBench: A Controlled Factorial Study of Vision-Language Model Evaluation Pipelines for Fine-Grained 3D Generation Defects
Automated evaluation is essential for scaling generative 3D systems, where exhaustive human review is costly and slow. However, the reliability of an automated judge depends on the entire evaluation pipeline, not only th…
3D GenerationELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
Unified 3D foundation models aspire to generate 3D assets and reason about them in language within a single backbone, but their text-3D interaction remains largely implicit. Existing methods concatenate text and 3D token…
3D GenerationCoGen3D: An Agentic Human-AI Co-Design Pipeline for 3D Asset Generation for Virtual Reality
Creating 3D assets for virtual reality requires modeling expertise, which restricts the authorship of immersive experiences. Existing generative AI tools rely on unconstrained, command-driven prompting, lacking the conve…
3D GenerationInSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image
Recent advances in single image-to-3D generation have enabled high-quality asset synthesis, yet extending these capabilities to indoor scene generation remains challenging. Existing methods focus on asset-level generatio…
Scene Generation3D GenerationInk3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
Recent 3D generative models can synthesize high-quality geometry but often struggle to reproduce intricate textures from reference images, largely due to the scarcity of large-scale 3D training data with rich surface app…
Video Generation3D Generation