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273 papers (6 classified directly here)

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Papers (including subtopics)

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation ICLR 2024 ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation ACL 2024 3D Human Mesh Estimation From Virtual Markers CVPR 2023 DyLiN: Making Light Field Networks Dynamic CVPR 2023 Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness ICLR 2023 Learning rigid dynamics with face interaction graph networks ICLR 2023 Mid-Vision Feedback ICLR 2023 Neuralangelo: High-Fidelity Neural Surface Reconstruction CVPR 2023 NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions CVPR 2023 PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing CVPR 2023 Revisiting Structured Dropout ACML 2023 Single Image Super-resolution Based On Non-subsampled Shearlet Transform ACML 2023 Ted: Tree delineation with reduced dimensions using entropy and deep learning ACML 2023 Contrastive Inductive Bias Controlling Networks for Reinforcement Learning ACML 2022 CURVATURE-GUIDED DYNAMIC SCALE NETWORKS FOR MULTI-VIEW STEREO ICLR 2022 DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow CVPR 2022 FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization ACML 2022 Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? NeurIPS 2022 Hierarchical Normalization for Robust Monocular Depth Estimation NeurIPS 2022 HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture CVPR 2022 Neural Head Avatars From Monocular RGB Videos CVPR 2022 PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images CVPR 2022 Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching NeurIPS 2022 W-CTC: a Connectionist Temporal Classification Loss with Wild Cards ICLR 2022 Deep Portfolio Optimization via Distributional Prediction of Residual Factors AAAI 2021