{"total":183,"rows":[{"id":"2309.16653","title":"DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation","created":"2023-09-28","cited_by_count":843,"area":null},{"id":"2412.01506","title":"Structured 3D Latents for Scalable and Versatile 3D Generation","created":"2024-12-02","cited_by_count":770,"area":null},{"id":"2310.15008","title":"Wonder3D: Single Image to 3D using Cross-Domain Diffusion","created":"2023-10-23","cited_by_count":689,"area":"diffusion"},{"id":"2309.03453","title":"SyncDreamer: Generating Multiview-consistent Images from a Single-view Image","created":"2023-09-07","cited_by_count":645,"area":"diffusion"},{"id":"2306.16928","title":"One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization","created":"2023-06-29","cited_by_count":560,"area":"diffusion"},{"id":"2406.13897","title":"CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets","created":"2024-05-30","cited_by_count":455,"area":"diffusion"},{"id":"2404.07191","title":"InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models","created":"2024-04-10","cited_by_count":433,"area":null},{"id":"2405.10314","title":"CAT3D: Create Anything in 3D with Multi-View Diffusion Models","created":"2024-05-16","cited_by_count":432,"area":"diffusion"},{"id":"2311.06214","title":"Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model","created":"2023-11-10","cited_by_count":378,"area":"diffusion"},{"id":"2403.14621","title":"GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation","created":"2024-03-21","cited_by_count":301,"area":null},{"id":"2309.16585","title":"Text-to-3D using Gaussian Splatting","created":"2023-09-28","cited_by_count":299,"area":null},{"id":"2311.07885","title":"One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion","created":"2023-11-14","cited_by_count":283,"area":"diffusion"},{"id":"2311.15475","title":"MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers","created":"2023-11-27","cited_by_count":259,"area":null},{"id":"2310.08529","title":"GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models","created":"2023-10-12","cited_by_count":255,"area":"diffusion"},{"id":"2403.05034","title":"CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model","created":"2024-03-08","cited_by_count":215,"area":null},{"id":"2311.09217","title":"DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model","created":"2023-11-15","cited_by_count":214,"area":null},{"id":"2405.14832","title":"Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer","created":"2024-05-23","cited_by_count":210,"area":"diffusion"},{"id":"2306.07279","title":"Scalable 3D Captioning with Pretrained Models","created":"2023-06-12","cited_by_count":203,"area":null},{"id":"2312.03806","title":"XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies","created":"2023-12-06","cited_by_count":189,"area":null},{"id":"2512.14692","title":"Native and Compact Structured Latents for 3D Generation","created":"2025-12-16","cited_by_count":175,"area":null},{"id":"2311.16918","title":"RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D","created":"2023-11-28","cited_by_count":168,"area":"diffusion"},{"id":"2310.16818","title":"DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior","created":"2023-10-25","cited_by_count":158,"area":"diffusion"},{"id":"2310.07204","title":"State of the Art on Diffusion Models for Visual Computing","created":"2023-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2312.13913","title":"Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models","created":"2023-12-21","cited_by_count":123,"area":"diffusion"},{"id":"2306.07881","title":"Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data","created":"2023-06-13","cited_by_count":113,"area":"diffusion"},{"id":"2405.20674","title":"4Diffusion: Multi-view Video Diffusion Model for 4D Generation","created":"2024-05-31","cited_by_count":104,"area":"diffusion"},{"id":"2409.12957","title":"3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion","created":"2024-09-19","cited_by_count":101,"area":null},{"id":"2405.11616","title":"Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention","created":"2024-05-19","cited_by_count":100,"area":null},{"id":"2403.12019","title":"LN3DIFF++: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation","created":"2024-03-18","cited_by_count":92,"area":null},{"id":"2311.17061","title":"HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting","created":"2023-11-28","cited_by_count":89,"area":null},{"id":"2409.18114","title":"EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation","created":"2024-09-26","cited_by_count":87,"area":null},{"id":"2311.12891","title":"Text-Guided Texturing by Synchronized Multi-View Diffusion","created":"2023-11-21","cited_by_count":86,"area":null},{"id":"2402.08682","title":"IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation","created":"2024-02-13","cited_by_count":84,"area":null},{"id":"2310.03020","title":"Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models","created":"2023-10-04","cited_by_count":79,"area":"diffusion"},{"id":"2411.07025","title":"Scaling Mesh Generation via Compressive Tokenization","created":"2024-11-11","cited_by_count":73,"area":null},{"id":"2312.06725","title":"EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion","created":"2023-12-11","cited_by_count":72,"area":"diffusion"},{"id":"2407.14041","title":"Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization","created":"2024-07-19","cited_by_count":71,"area":"diffusion"},{"id":"2404.00815","title":"Towards Realistic Scene Generation with LiDAR Diffusion Models","created":"2024-03-31","cited_by_count":69,"area":"wm"},{"id":"2407.02445","title":"Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials","created":"2024-07-02","cited_by_count":66,"area":null},{"id":"2412.06699","title":"You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale","created":"2024-12-09","cited_by_count":65,"area":"diffusion"},{"id":"2305.18047","title":"InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions","created":"2023-05-29","cited_by_count":64,"area":"diffusion"},{"id":"2307.11073","title":"OBJECT 3DIT: Language-guided 3D-aware Image Editing","created":"2023-07-20","cited_by_count":63,"area":null},{"id":"2412.18608","title":"PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models","created":"2024-12-24","cited_by_count":62,"area":"diffusion"},{"id":"2403.12409","title":"ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance","created":"2024-03-19","cited_by_count":59,"area":null},{"id":"2403.14613","title":"DreamReward: Text-to-3D Generation with Human Preference","created":"2024-03-21","cited_by_count":56,"area":null},{"id":"2409.08215","title":"LT3SD: Latent Trees for 3D Scene Diffusion","created":"2024-09-12","cited_by_count":55,"area":"diffusion"},{"id":"2503.13439","title":"Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images","created":"2025-03-17","cited_by_count":54,"area":null},{"id":"2410.19657","title":"DiffGS: Functional Gaussian Splatting Diffusion","created":"2024-10-25","cited_by_count":51,"area":"diffusion"},{"id":"2307.05445","title":"AutoDecoding Latent 3D Diffusion Models","created":"2023-07-07","cited_by_count":50,"area":"diffusion"},{"id":"2311.15980","title":"Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion","created":"2023-11-27","cited_by_count":50,"area":"diffusion"},{"id":"2405.16890","title":"PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance","created":"2024-05-27","cited_by_count":50,"area":null},{"id":"2312.09222","title":"Mosaic-SDF for 3D Generative Models","created":"2023-12-14","cited_by_count":48,"area":"diffusion"},{"id":"2506.09980","title":"Efficient Part-level 3D Object Generation via Dual Volume Packing","created":"2025-06-11","cited_by_count":48,"area":null},{"id":"2312.08754","title":"UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation","created":"2023-12-14","cited_by_count":47,"area":"diffusion"},{"id":"2403.12032","title":"Generic 3D Diffusion Adapter Using Controlled Multi-View Editing","created":"2024-03-18","cited_by_count":47,"area":"diffusion"},{"id":"2403.12010","title":"VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model","created":"2024-03-18","cited_by_count":45,"area":null},{"id":"2403.19655","title":"GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling","created":"2024-03-28","cited_by_count":45,"area":null},{"id":"2312.09242","title":"Text2Immersion: Generative Immersive Scene with 3D Gaussians","created":"2023-12-14","cited_by_count":43,"area":null},{"id":"2312.11459","title":"VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder","created":"2023-12-18","cited_by_count":39,"area":"diffusion"},{"id":"2403.15385","title":"LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis","created":"2024-03-22","cited_by_count":39,"area":null},{"id":"2407.06938","title":"RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models","created":"2024-07-09","cited_by_count":36,"area":"diffusion"},{"id":"2312.04424","title":"Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views","created":"2023-12-07","cited_by_count":33,"area":null},{"id":"2507.23785","title":"Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis","created":"2025-07-31","cited_by_count":33,"area":"diffusion"},{"id":"2403.09625","title":"Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation","created":"2024-03-14","cited_by_count":32,"area":null},{"id":"2411.14384","title":"Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction","created":"2024-11-21","cited_by_count":32,"area":"diffusion"},{"id":"2311.16917","title":"UGG: Unified Generative Grasping","created":"2023-11-28","cited_by_count":30,"area":null},{"id":"2509.14476","title":"AToken: A Unified Tokenizer for Vision","created":"2025-09-17","cited_by_count":30,"area":null},{"id":"2305.15399","title":"Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape","created":"2023-05-24","cited_by_count":29,"area":"diffusion"},{"id":"2312.15980","title":"HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D","created":"2023-12-26","cited_by_count":28,"area":"diffusion"},{"id":"2306.01405","title":"Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping","created":"2023-06-02","cited_by_count":27,"area":null},{"id":"2310.10644","title":"TOSS:High-quality Text-guided Novel View Synthesis from a Single Image","created":"2023-10-16","cited_by_count":26,"area":null},{"id":"2403.16210","title":"Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane","created":"2024-03-24","cited_by_count":26,"area":null},{"id":"2404.06851","title":"UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion","created":"2024-04-10","cited_by_count":23,"area":"diffusion"},{"id":"2402.14253","title":"MVD$^2$: Efficient Multiview 3D Reconstruction for Multiview Diffusion","created":"2024-02-22","cited_by_count":22,"area":null},{"id":"2401.07727","title":"HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation","created":"2024-01-15","cited_by_count":21,"area":null},{"id":"2312.09069","title":"PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion","created":"2023-12-14","cited_by_count":20,"area":"diffusion"},{"id":"2405.18515","title":"Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication","created":"2024-05-28","cited_by_count":20,"area":"diffusion"},{"id":"2508.01242","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","created":"2025-08-02","cited_by_count":20,"area":null},{"id":"2409.11406","title":"Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion","created":"2024-09-17","cited_by_count":19,"area":null},{"id":"2410.18974","title":"3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation","created":"2024-10-24","cited_by_count":19,"area":"diffusion"},{"id":"2402.00867","title":"AToM: Amortized Text-to-Mesh using 2D Diffusion","created":"2024-02-01","cited_by_count":18,"area":null},{"id":"2406.18462","title":"GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality","created":"2024-06-26","cited_by_count":18,"area":null},{"id":"2404.01241","title":"StructLDM: Structured Latent Diffusion for 3D Human Generation","created":"2024-04-01","cited_by_count":17,"area":"diffusion"},{"id":"2402.03445","title":"Denoising Diffusion via Image-Based Rendering","created":"2024-02-05","cited_by_count":15,"area":"diffusion"},{"id":"2406.04322","title":"DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data","created":"2024-06-06","cited_by_count":15,"area":"diffusion"},{"id":"2503.04641","title":"Simulating the Real World: A Unified Survey of Multimodal Generative Models","created":"2025-03-06","cited_by_count":15,"area":null},{"id":"2306.07154","title":"InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions","created":"2023-06-12","cited_by_count":14,"area":null},{"id":"2307.16605","title":"VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation","created":"2023-07-28","cited_by_count":14,"area":null},{"id":"2402.18842","title":"ViewFusion: Towards Multi-View Consistency via Interpolated Denoising","created":"2024-02-29","cited_by_count":14,"area":"diffusion"},{"id":"2405.09431","title":"A Survey On Text-to-3D Contents Generation In The Wild","created":"2024-05-15","cited_by_count":14,"area":null},{"id":"2406.02461","title":"RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting","created":"2024-06-04","cited_by_count":14,"area":"diffusion"},{"id":"2401.17603","title":"Topology-Aware Latent Diffusion for 3D Shape Generation","created":"2024-01-31","cited_by_count":13,"area":"diffusion"},{"id":"2403.18241","title":"NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation","created":"2024-03-27","cited_by_count":13,"area":null},{"id":"2310.10027","title":"RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation","created":"2023-10-16","cited_by_count":12,"area":null},{"id":"2403.08902","title":"Envision3D: One Image to 3D with Anchor Views Interpolation","created":"2024-03-13","cited_by_count":12,"area":"diffusion"},{"id":"2404.00987","title":"FlexiDreamer: Single Image-to-3D Generation with FlexiCubes","created":"2024-04-01","cited_by_count":12,"area":null},{"id":"2412.09997","title":"GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark","created":"2024-12-13","cited_by_count":12,"area":null},{"id":"2503.21745","title":"3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models","created":"2025-03-27","cited_by_count":12,"area":null},{"id":"2310.11598","title":"Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors","created":"2023-10-17","cited_by_count":11,"area":null},{"id":"2410.04738","title":"Diffusion Models in 3D Vision: A Survey","created":"2024-10-07","cited_by_count":11,"area":"diffusion"}],"next_cursor":"100"}