ReImagine decouples human appearance from temporal consistency via pretrained image backbones, SMPL-X motion guidance, and training-free video diffusion refinement to generate high-quality controllable videos.
In: International Conference on 3D Vision, 3DV 2021, London, United Kingdom, De- cember 1-3
6 Pith papers cite this work, alongside 451 external citations. Polarity classification is still indexing.
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GenSP learns a continuous neural deformation model from sphere coordinates and latent codes to produce consistent spherical parameterizations for genus-0 shapes.
Bengal-HP_RU is the first publicly available head pose dataset for Bengali subjects, with 12,894 images collected from Wikimedia Commons and partitioned by uploader identity.
LinStereo uses Position-Aware Linear Attention, Hierarchical Semantic Cost Volumes, and Depth Prior Initialization to enable global aggregation in iterative stereo matching at linear complexity, showing improved performance on standard and underwater benchmarks.
MM-Hand presents a modular 21-DOF dexterous hand with remote tendon actuation, integrated multimodal sensing, and open-source hardware that achieves 25 N fingertip force over 1 m transmission distance.
StereoPolicy fuses left-right image features via cross-attention to deliver consistent gains over RGB, RGB-D, point cloud, and multi-view baselines in simulation and real-robot manipulation tasks.
citing papers explorer
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ReImagine: Rethinking Controllable High-Quality Human Video Generation via Image-First Synthesis
ReImagine decouples human appearance from temporal consistency via pretrained image backbones, SMPL-X motion guidance, and training-free video diffusion refinement to generate high-quality controllable videos.
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GenSP: Consistent Spherical Parameterization via Learning Shape Generative Models
GenSP learns a continuous neural deformation model from sphere coordinates and latent codes to produce consistent spherical parameterizations for genus-0 shapes.
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Bengal-HP_RU: A Dataset of Bengal People For Head Pose Estimation
Bengal-HP_RU is the first publicly available head pose dataset for Bengali subjects, with 12,894 images collected from Wikimedia Commons and partitioned by uploader identity.
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LinStereo: Linear-Complexity Global Attention for Multi-Scale Iterative Stereo Matching
LinStereo uses Position-Aware Linear Attention, Hierarchical Semantic Cost Volumes, and Depth Prior Initialization to enable global aggregation in iterative stereo matching at linear complexity, showing improved performance on standard and underwater benchmarks.
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MM-Hand: A 21-DOF Multi-modal Modular Dexterous Robotic Hand with Remote Actuation
MM-Hand presents a modular 21-DOF dexterous hand with remote tendon actuation, integrated multimodal sensing, and open-source hardware that achieves 25 N fingertip force over 1 m transmission distance.
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StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception
StereoPolicy fuses left-right image features via cross-attention to deliver consistent gains over RGB, RGB-D, point cloud, and multi-view baselines in simulation and real-robot manipulation tasks.