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cs.CV2026

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation

Yang Gao, Wuyang Li, Po-Chien Luan +1

Understanding dynamic 3D environments is essential for safe autonomous driving, particularly when reasoning about human-centric, nonrigid agents. However, existing weakly supervise…

cs.CV2026

Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation

Mariam Hassan, Kaouther Messaoud, Wuyang Li +1

Modern video generative models produce visually impressive results, yet frequently violate basic physical principles. We propose Proprio, a training-free framework that enables a f…

cs.CV2026

Drift-Resistant Navigation World Model with Anchored Epipolar Guidance

Po-Chien Luan, Zimin Xia, Wuyang Li +2

We propose Drift-Resistant Navigation World Model, a generative model that mitigates both perceptual drift and geometric drift in conventional rollout-based navigation world models…

cs.CV2026

EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration

Wuyang Li, Yang Gao, Mariam Hassan +4

We propose EverAnimate, an efficient post-training method for long-horizon animated video generation that preserves visual quality and character identity. Long-form animation remai…

cs.RO2026

Grounded World Model: Latent Planning with Language Goals

Quanyi Li, Lan Feng, Haonan Zhang +4

World models such as DINO-WM and LeWM specify the goal with an image, which is difficult to obtain in advance for novel tasks. We present the Grounded World Model (GWM), a latent w…

cs.CV2026

SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching

Yasaman Haghighi, Alexandre Alahi

Diffusion models achieve state-of-the-art video generation quality, but their inference remains expensive due to the large number of sequential denoising steps. This has motivated…