StreamForce presents a unified causal model for force-controllable streaming video generation using a new force representation and distillation pipeline, claiming SOTA force adherence and 16.6 FPS performance.
Autovfx: Physically realistic video edit- ing from natural language instructions
5 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
representative citing papers
STaR-Quant provides a state-time consistent PTQ framework for DLLMs using SGAT and TAC to improve low-bit weight-activation quantization.
AccidentSim creates videos of car collisions with physically accurate trajectories by simulating data from accident reports, fine-tuning an LM on those trajectories, and rendering with NeRF.
OptiWorld inserts a classical optimal-control layer that extracts a world state, plans an optimal trajectory on a geometric manifold under physical constraints, and renders the video conditioned on that trajectory.
FieryGS couples MLLM-based material reasoning with simplified combustion simulation and unified fire/smoke/3DGS rendering to synthesize controllable, scene-consistent fire in reconstructed real-world scenes.
citing papers explorer
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Streaming Video Generation with Streaming Force Control
StreamForce presents a unified causal model for force-controllable streaming video generation using a new force representation and distillation pipeline, claiming SOTA force adherence and 16.6 FPS performance.
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STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models
STaR-Quant provides a state-time consistent PTQ framework for DLLMs using SGAT and TAC to improve low-bit weight-activation quantization.
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AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports
AccidentSim creates videos of car collisions with physically accurate trajectories by simulating data from accident reports, fine-tuning an LM on those trajectories, and rendering with NeRF.
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OptiWorld: Optimal Control for Video World Generation under Physical Constraints
OptiWorld inserts a classical optimal-control layer that extracts a world state, plans an optimal trajectory on a geometric manifold under physical constraints, and renders the video conditioned on that trajectory.
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FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting
FieryGS couples MLLM-based material reasoning with simplified combustion simulation and unified fire/smoke/3DGS rendering to synthesize controllable, scene-consistent fire in reconstructed real-world scenes.