implicit model

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models ICLR 2022 S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction NeurIPS 2022 Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis CVPR 2022 Towards Implicit Text-Guided 3D Shape Generation CVPR 2022 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021 Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators NeurIPS 2021 Denoising Diffusion Implicit Models ICLR 2021 Differentiable Multiple Shooting Layers NeurIPS 2021 Neural Approximate Sufficient Statistics for Implicit Models ICLR 2021 On Training Implicit Models NeurIPS 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 SMPLicit: Topology-Aware Generative Model for Clothed People CVPR 2021 Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation ICML 2020 Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability L4DC 2020 Implicit Graph Neural Networks NeurIPS 2020 Learning Implicit Text Generation via Feature Matching ACL 2020 A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019 Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019 Kernel Mean Matching for Content Addressability of GANs ICML 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 Gradient Estimators for Implicit Models ICLR 2018 NetGAN: Generating Graphs via Random Walks ICML 2018 Semantic Interpolation in Implicit Models ICLR 2018