10 papers
PhyMetric: Diagnosing Physical Plausibility in Text-to-Video Generation via Scene-Level QA
Siwei Meng, Xuerou Cai, Rui Hu +1
Text-to-video (T2V) generation models can produce visually realistic videos that nevertheless violate the physical consequences implied by the prompt and scene. Existing benchmarks…
Quaternionic Elasticity Theory with Local Fractional Derivatives
Hung Manh Nguyen, Juan Bory-Reyes
We develop a quaternionic formulation of linear elasticity in which the classical derivative is replaced by Yang's local fractional derivative and the classical Cauchy--Riemann ope…
Conditional Trajectory Peaks: Single-Pass Multimodal Policies over Action Chunks
Di Wu, Rongtian Shen, Ping Liu +4
Multimodal imitation learning requires diverse executable futures under the same observation and consistent behavior across replanning cycles. We present Conditional Trajectory Pea…
Execution-Aligned Progressive Noise for Consistent Asynchronous Replanning in Generative Robot Policies
Di Wu, Ping Liu, Xuhua Chen +3
Continuous asynchronous replanning is essential for real-time generative robot policies, but independent stochastic initialization can cause mode switching and inconsistent continu…
Toward Real-Time VLAs: Stage-Aware Two-Step Flow Denoising and System-Level Evaluation
Di Wu, Rongtian Shen, Ping Liu +8
Vision-language-action (VLA) models face a timing gap between low-rate inference and high-rate robot execution. We characterize this gap through end-to-end latency measurements of…
When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation
Siwei Meng, Yawei Luo, Shu Zhang +1
Text-to-video (T2V) generation models have achieved strong visual realism, but improving physical plausibility can come at the cost of semantic consistency with the input text. Thi…
Closed-Form Concept Erasure via Double Projections
Chi Zhang, Jingpu Cheng, Zhixian Wang +1
While modern generative models such as diffusion-based architectures have enabled impressive creative capabilities, they also raise important safety and ethical risks. These concer…
PhyMAGIC: Physical Motion-Aware Generative Inference with Confidence-guided LLM
Siwei Meng, Yawei Luo, Ping Liu
Recent advances in 3D content generation have amplified demand for dynamic models that are both visually realistic and physically consistent. However, state-of-the-art video diffus…
Advances in 4D Generation: A Survey
Qiaowei Miao, Kehan Li, Jinsheng Quan +6
Generative artificial intelligence has recently progressed from static image and video synthesis to 3D content generation, culminating in the emergence of 4D generation-the task of…
Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC
Siwei Meng, Yawei Luo, Ping Liu
Recent advancements in AI-generated content have significantly improved the realism of 3D and 4D generation. However, most existing methods prioritize appearance consistency while…