13 papers · 1 filter
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
Xinshuang Liu, Runfa Blark Li, Shaoxiu Wei +1
Flow matching models effectively represent complex distributions, yet estimating expectations of functions of their outputs remains challenging under limited sampling budgets. Inde…
Consistency-Preserving Diverse Video Generation
Xinshuang Liu, Runfa Blark Li, Truong Nguyen
Text-to-video generation is expensive, so only a few samples are typically produced per prompt. In this low-sample regime, maximizing the value of each batch requires high cross-vi…
HumanOrbit: 3D Human Reconstruction as 360° Orbit Generation
Keito Suzuki, Kunyao Chen, Lei Wang +5
We present a method for generating a full 360° orbit video around a person from a single input image. Existing methods typically adapt image-based diffusion models for multi-view…
SplatSDF: Boosting SDF-NeRF via Architecture-Level Fusion with Gaussian Splats
Runfa Blark Li, Keito Suzuki, Bang Du +3
Signed distance-radiance field (SDF-NeRF) is a promising environment representation that offers both photo-realistic rendering and geometric reasoning such as proximity queries for…
WaveletGaussian: Wavelet-domain Diffusion for Sparse-view 3D Gaussian Object Reconstruction
Hung Nguyen, Runfa Li, An Le +1
3D Gaussian Splatting (3DGS) has become a powerful representation for image-based object reconstruction, yet its performance drops sharply in sparse-view settings. Prior works addr…
DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splatting
Hung Nguyen, Runfa Li, An Le +1
Sparse-view 3D Gaussian Splatting (3DGS) presents significant challenges in reconstructing high-quality novel views, as it often overfits to the widely-varying high-frequency (HF)…