FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow
Summary
FlashRender is a few-step generative rendering framework that accelerates video synthesis by aligning representations and using mean-flow objectives, achieving comparable quality to multi-step methods with significantly reduced sampling cost.
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Paper page - FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow
Source: https://huggingface.co/papers/2609.03563
Abstract
FlashRender accelerates generative video rendering via representation alignment, a mean-flow objective, and on-policy distillation to achieve high-quality few-step camera-controlled synthesis.
We presentFlashRender, a few-stepgenerative renderingframework that retakes a source video along a target camera trajectory in seconds. We identifysampling-step-dependent camera controlas a prominent manifestation ofdiscretization errorin existing multi-stepgenerative renderingmodels and show that resolving this inconsistency substantially lowers denoising trajectory curvature, facilitating subsequent step distillation. To this end, we introduceRepresentation Transformation and Alignment (RETA), which aligns hidden source-video representations with target-video features from a frozenvisual geometry model. This directly encodes the geometric transformation within the source-video stream, enabling sampling-step-consistent camera control. We then fine-tune the model with theMeanFlow objectiveon the lower-curvature denoising trajectory induced by RETA, allowing the model to more effectively addressdiscretization error. Finally, we applyon-policy flow map distillationto correct self-rollout errors under fixedfew-step sampling. Extensive experiments show that RETA, MeanFlow, andon-policy flow map distillationplay complementary roles in few-stepgenerative rendering. Together, they enable our approach to match multi-step baselines in video quality and geometric consistency at 25x lower sampling cost while achieving superior camera controllability, even under out-of-distribution target camera trajectories.
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