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Showing 2025 · cs.CVShow all

8 papers · 2 filters

cs.CV2025

Consistent Instance Field for Dynamic Scene Understanding

Junyi Wu, Van Nguyen Nguyen, Benjamin Planche +11

We introduce Consistent Instance Field, a continuous and probabilistic spatio-temporal representation for dynamic scene understanding. Unlike prior methods that rely on discrete tr…

cs.CV2025

TraceFlow: Dynamic 3D Reconstruction of Specular Scenes Driven by Ray Tracing

Jiachen Tao, Junyi Wu, Haoxuan Wang +3

We present TraceFlow, a novel framework for high-fidelity rendering of dynamic specular scenes by addressing two key challenges: precise reflection direction estimation and physica…

cs.CV2025

From Particles to Fields: Reframing Photon Mapping with Continuous Gaussian Photon Fields

Jiachen Tao, Benjamin Planche, Van Nguyen Nguyen +13

Accurately modeling light transport is essential for realistic image synthesis. Photon mapping provides physically grounded estimates of complex global illumination effects such as…

cs.CV2025

Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance

Haoxuan Wang, Jiachen Tao, Junyi Wu +3

We present Motion Marionette, a zero-shot framework for rigid motion transfer from monocular source videos to single-view target images. Previous works typically employ geometric,…

cs.CV2025

Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos

Junyi Wu, Jiachen Tao, Haoxuan Wang +3

We present Orientation-anchored Gaussian Splatting (OriGS), a novel framework for high-quality 4D reconstruction from casually captured monocular videos. While recent advances exte…

cs.CV2025

Efficient Multimodal Dataset Distillation via Generative Models

Zhenghao Zhao, Haoxuan Wang, Junyi Wu +3

Dataset distillation aims to synthesize a small dataset from a large dataset, enabling the model trained on it to perform well on the original dataset. With the blooming of large l…

cs.CV2025

CaO: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Haoxuan Wang, Zhenghao Zhao, Junyi Wu +3

The recent introduction of diffusion models in dataset distillation has shown promising potential in creating compact surrogate datasets for large, high-resolution target datasets,…

cs.CV2025

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction

Feiran Wang, Jiachen Tao, Junyi Wu +5

X-ray imaging is indispensable in medical diagnostics, yet its use is tightly regulated due to potential health risks. To mitigate radiation exposure, recent research focuses on ge…