EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
On the map: Diffusion models → 3D, point cloud and scene generation
Abstract (arXiv)
Generating multiview images from a single view facilitates the rapid generation of a 3D mesh conditioned on a single image. Recent methods that introduce 3D global representation into diffusion models have shown the potential to generate consistent multiviews, but they have reduced generation speed and face challenges in maintaining generalizability and quality. To address this issue, we propose EpiDiff, a localized interactive multiview diffusion model. At the core of the proposed approach is to insert a lightweight epipolar attention block into the frozen diffusion model, leveraging epipolar constraints to enable cross-view interaction among feature maps of neighboring views. The newly initialized 3D modeling module preserves the original feature distribution of the diffusion model, exhibiting compatibility with a variety of base diffusion models. Experiments show that EpiDiff generates 16 multiview images in just 12 seconds, and it surpasses previous methods in quality evaluation metrics, including PSNR, SSIM and LPIPS. Additionally, EpiDiff can generate a more diverse distribution of views, improving the reconstruction quality from generated multiviews. Please see our project page at https://huanngzh.github.io/EpiDiff/.
Key facts. Cited by 72 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 69 of its 79 references that are in the map. First posted on arXiv 11 Dec 2023.
Builds on
69 of 79 references.
Closest ancestors · 34
Same direction, newest first
- 2023Text-to-3D with Classifier Score Distillation30 Oct
- 2023DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior25 Oct
- 2023HiFi-123: Towards High-fidelity One Image to 3D Content Generation10 Oct
- 2023Large-Vocabulary 3D Diffusion Model with Transformer14 Sep
- 2023Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation26 Jul
- 2023AutoDecoding Latent 3D Diffusion Models7 Jul
- 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors30 Jun
- 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization29 Jun
- 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
- 2023TextMesh: Generation of Realistic 3D Meshes From Text Prompts24 Apr
- 2023Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models21 Apr
- 2023NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models19 Apr
22 more
- 2023Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction13 Apr
- 2023Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images13 Apr
- 2023Generative Novel View Synthesis with 3D-Aware Diffusion Models5 Apr
- 2023DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models3 Apr
- 20233D-aware Image Generation using 2D Diffusion Models31 Mar
- 2023Consistent View Synthesis with Pose-Guided Diffusion Models30 Mar
- 2023Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior24 Mar
- 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation24 Mar
- 2023Zero-1-to-3: Zero-shot One Image to 3D Object20 Mar
- 2023Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation14 Mar
- 20233DGen: Triplane Latent Diffusion for Textured Mesh Generation9 Mar
- 2022Point-E: A System for Generating 3D Point Clouds from Complex Prompts16 Dec
- 2022Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion12 Dec
- 2022NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors6 Dec
- 2022DiffRF: Rendering-Guided 3D Radiance Field Diffusion2 Dec
- 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation1 Dec
- 2022Magic3D: High-Resolution Text-to-3D Content Creation18 Nov
- 2022RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation17 Nov
- 2022LION: Latent Point Diffusion Models for 3D Shape Generation12 Oct
- 2022Novel View Synthesis with Diffusion Models6 Oct
- 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep
- 2021Diffusion Probabilistic Models for 3D Point Cloud Generation2 Mar
Other references · 35
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
- 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
- 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
- 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
- 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 735
- 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
- 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 646
- 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 601
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- 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
- 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
- 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
- 2023RealFusion: 360deg Reconstruction of Any Object from a Single Imagecited by 305
- 2022SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generationcited by 287
- 2023DreamBooth3D: Subject-Driven Text-to-3D Generationcited by 235
- 2021Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representationscited by 222
- 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusioncited by 210
- 2023MeshDiffusion: Score-based Generative 3D Mesh Modelingcited by 198
- 2021GeoNeRF: Generalizing NeRF with Geometry Priorscited by 195
- 2021Neural Rays for Occlusion-aware Image-based Renderingcited by 192
- 2023NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusioncited by 179
- 2022SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Viewscited by 175
- 2022Generalizable Patch-Based Neural Renderingcited by 121
- 2022NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstructioncited by 99
- 2023Anything-3D: Towards Single-view Anything Reconstruction in the Wildcited by 91
- 2022Object Scene Representation Transformercited by 90
- 2022ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformerscited by 70
- 2021Unsupervised Learning of 3D Object Categories from Videos in the Wildcited by 67
- 2023DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Modelcited by 43
- 2023ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learningcited by 14
- 2023Pushing the Limits of 3D Shape Generation at Scalecited by 11
- 2023SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input Viewscited by 2
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Citing papers per year: 2023: 1; 2024: 23; 2025: 33; 2026: 15.
72 papers.
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- 2025ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models16 Dec 2025
- 2025Novel View Synthesis using DDIM Inversion14 Aug 2025
- 2025ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors8 Aug 2025
- 2025DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion30 Jul 2025
- 2025EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction10 Jul 2025
- 2025Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning26 May 2025
- 2025Survey of Video Diffusion Models: Foundations, Implementations, and Applications22 Apr 2025
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- 2026Geometrically Consistent Multi-View Scene Generation from Freehand Sketches15 Apr 2026
- 2026Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Data15 Apr 2026
- 2026Towards Realistic and Consistent Orbital Video Generation via 3D Foundation Priors14 Apr 2026
- 2026ProDiG: Progressive Diffusion-Guided Gaussian Splatting for Aerial to Ground Reconstruction2 Apr 2026
- 2026SegviGen: Repurposing 3D Generative Model for Part Segmentation17 Mar 2026
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- 2026Enhancing Underwater Light Field Images via Global Geometry-aware Diffusion Process29 Jan 2026
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