{"list":"other","total":56,"rows":[{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1503.03585","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","created":"2015-03-12","cited_by_count":7058},{"id":"2207.12598","title":"Classifier-Free Diffusion Guidance","created":"2022-07-26","cited_by_count":5847},{"id":"1907.05600","title":"Generative Modeling by Estimating Gradients of the Data Distribution","created":"2019-07-12","cited_by_count":4101},{"id":"2206.00364","title":"Elucidating the Design Space of Diffusion-Based Generative Models","created":"2022-06-01","cited_by_count":3045},{"id":"2209.14687","title":"Diffusion Posterior Sampling for General Noisy Inverse Problems","created":"2022-09-29","cited_by_count":1416},{"id":"2201.11793","title":"Denoising Diffusion Restoration Models","created":"2022-01-27","cited_by_count":963},{"id":"2309.16653","title":"DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation","created":"2023-09-28","cited_by_count":843},{"id":"2412.01506","title":"Structured 3D Latents for Scalable and Versatile 3D Generation","created":"2024-12-02","cited_by_count":770},{"id":"2212.00490","title":"Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model","created":"2022-12-01","cited_by_count":583},{"id":"2206.00941","title":"Improving Diffusion Models for Inverse Problems using Manifold Constraints","created":"2022-06-02","cited_by_count":508},{"id":"2305.16381","title":"DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models","created":"2023-05-25","cited_by_count":450},{"id":"2306.03881","title":"Emergent Correspondence from Image Diffusion","created":"2023-06-06","cited_by_count":446},{"id":"2303.09833","title":"FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model","created":"2023-03-17","cited_by_count":294},{"id":"2206.09012","title":"Diffusion models as plug-and-play priors","created":"2022-06-17","cited_by_count":231},{"id":"2303.08133","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","created":"2023-03-14","cited_by_count":199},{"id":"2012.00888","title":"DiffusionNet: Discretization Agnostic Learning on Surfaces","created":"2020-12-01","cited_by_count":164},{"id":"2311.16424","title":"Manifold Preserving Guided Diffusion","created":"2023-11-28","cited_by_count":157},{"id":"2304.01893","title":"Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion","created":"2023-04-04","cited_by_count":138},{"id":"1704.08686","title":"Deep Functional Maps: Structured Prediction for Dense Shape Correspondence","created":"2017-04-27","cited_by_count":134},{"id":"2304.12526","title":"Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models","created":"2023-04-25","cited_by_count":133},{"id":"2209.08725","title":"Neural Wavelet-domain Diffusion for 3D Shape Generation","created":"2022-09-19","cited_by_count":132},{"id":"2303.05754","title":"Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems","created":"2023-03-10","cited_by_count":132},{"id":"2003.14286","title":"Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence","created":"2020-03-31","cited_by_count":125},{"id":"2411.04924","title":"MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views","created":"2024-11-07","cited_by_count":116},{"id":"2302.10668","title":"$PC^2$: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction","created":"2023-02-21","cited_by_count":84},{"id":"2106.09431","title":"NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go","created":"2021-06-17","cited_by_count":81},{"id":"1806.04455","title":"Continuous and Orientation-preserving Correspondences via Functional Maps","created":"2018-06-12","cited_by_count":77},{"id":"2010.15261","title":"Deep Shells: Unsupervised Shape Correspondence with Optimal Transport","created":"2020-10-28","cited_by_count":74},{"id":"1905.12512","title":"Smooth Shells: Multi-Scale Shape Registration with Functional Maps","created":"2019-05-29","cited_by_count":72},{"id":"1506.05274","title":"Partial Functional Correspondence","created":"2015-06-17","cited_by_count":61},{"id":"2203.07858","title":"A Survey of Non-Rigid 3D Registration","created":"2022-03-11","cited_by_count":59},{"id":"2110.09994","title":"DPFM: Deep Partial Functional Maps","created":"2021-10-19","cited_by_count":58},{"id":"2304.14419","title":"Unsupervised Learning of Robust Spectral Shape Matching","created":"2023-04-27","cited_by_count":57},{"id":"2311.17024","title":"Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features","created":"2023-11-28","cited_by_count":55},{"id":"2503.13439","title":"Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images","created":"2025-03-17","cited_by_count":54},{"id":"2106.13679","title":"Shape registration in the time of transformers","created":"2021-06-25","cited_by_count":51},{"id":"2403.12957","title":"GVGEN: Text-to-3D Generation with Volumetric Representation","created":"2024-03-19","cited_by_count":51},{"id":"2403.19655","title":"GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling","created":"2024-03-28","cited_by_count":45},{"id":"2207.09610","title":"Unsupervised Deep Multi-Shape Matching","created":"2022-07-20","cited_by_count":39},{"id":"2210.02870","title":"Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization","created":"2022-10-05","cited_by_count":37},{"id":"2204.13453","title":"Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching","created":"2022-04-28","cited_by_count":36},{"id":"2210.06373","title":"Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching","created":"2022-10-12","cited_by_count":35},{"id":"2308.08871","title":"Spatially and Spectrally Consistent Deep Functional Maps","created":"2023-08-17","cited_by_count":30},{"id":"2009.14624","title":"Structured Regularization of Functional Map Computations","created":"2020-09-30","cited_by_count":26},{"id":"2311.04391","title":"3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features","created":"2023-11-07","cited_by_count":26},{"id":"2312.03763","title":"Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing","created":"2023-12-05","cited_by_count":22},{"id":"1801.02453","title":"Reversible Harmonic Maps between Discrete Surfaces","created":"2018-01-08","cited_by_count":19},{"id":"2011.13076","title":"Non-Rigid Puzzles","created":"2020-11-26","cited_by_count":18},{"id":"2312.03678","title":"Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching","created":"2023-12-06","cited_by_count":18},{"id":"2404.00330","title":"Memory-Scalable and Simplified Functional Map Learning","created":"2024-03-30","cited_by_count":14},{"id":"2410.02786","title":"Robust Symmetry Detection via Riemannian Langevin Dynamics","created":"2024-09-18","cited_by_count":14},{"id":"2310.14692","title":"On Unsupervised Partial Shape Correspondence","created":"2023-10-23","cited_by_count":11},{"id":"2405.18677","title":"Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering","created":"2024-05-29","cited_by_count":9}],"next_cursor":null}