RetimeGS enables ghost-free continuous-time rendering of dynamic scenes in 4D Gaussian Splatting by explicitly modeling temporal Gaussian behavior and adding optical flow-guided supervision plus triple-rendering checks.
Forge4D: Feed-Forward 4D Human Reconstruction and In- terpolation from Uncalibrated Sparse-view Videos
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
HiReFF presents a feed-forward framework for 2K human video reconstruction from uncalibrated sparse-view videos via scale-synchronized calibration, Gaussian masking, and high-resolution side-tuning.
MeshLAM reconstructs high-fidelity animatable textured mesh head avatars from a single image via a feed-forward dual shape-texture architecture with iterative GRU decoding and reprojection-based guidance.
citing papers explorer
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RetimeGS: Continuous-Time Reconstruction of 4D Gaussian Splatting
RetimeGS enables ghost-free continuous-time rendering of dynamic scenes in 4D Gaussian Splatting by explicitly modeling temporal Gaussian behavior and adding optical flow-guided supervision plus triple-rendering checks.
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HiReFF: High-Resolution Feedforward Human Reconstruction from Uncalibrated Sparse-View Video
HiReFF presents a feed-forward framework for 2K human video reconstruction from uncalibrated sparse-view videos via scale-synchronized calibration, Gaussian masking, and high-resolution side-tuning.
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MeshLAM: Feed-Forward One-Shot Animatable Textured Mesh Avatar Reconstruction
MeshLAM reconstructs high-fidelity animatable textured mesh head avatars from a single image via a feed-forward dual shape-texture architecture with iterative GRU decoding and reprojection-based guidance.