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cs.CV2026

HPSD: Hybrid-Policy Self-Distillation for Text-Image-to-Video Diffusion Models

Jiazi Bu, Pengyang Ling, Yujie Zhou +10

Text-Image-to-Video (TI2V) models are an emerging unified architecture, where a single model simultaneously supports text-to-video (T2V) and image-to-video (I2V) generation. Given…

cs.CV2026

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction

Yuxi Wang, Chengkai Jin, Yufei Liu +6

4D hand motion reconstruction from egocentric video is bottlenecked by clear limitations of existing methods: image-based pipelines depend on a detector that fails under heavy occl…

cs.CV2026

AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO

Jiazi Bu, Pengyang Ling, Yujie Zhou +8

Group Relative Policy Optimization (GRPO) has demonstrated remarkable success in aligning text-to-image (T2I) flow models with human preferences. However, we have identified that t…

cs.CV2026

StructDiff: A Structure-Preserving and Spatially Controllable Diffusion Model for Single-Image Generation

Yinxi He, Kang Liao, Chunyu Lin +2

This paper introduces StructDiff, a generative framework based on a single-scale diffusion model for single-image generation. Single-image generation aims to synthesize diverse sam…

cs.CV2026

From Sparse to Dense: Multi-View GRPO for Flow Models via Augmented Condition Space

Jiazi Bu, Pengyang Ling, Yujie Zhou +8

Group Relative Policy Optimization (GRPO) has emerged as a powerful framework for preference alignment in text-to-image (T2I) flow models. However, we observe that the standard par…

cs.CV2026

Hand2World: Autoregressive Egocentric Interaction Generation via Free-Space Hand Gestures

Yuxi Wang, Wenqi Ouyang, Tianyi Wei +3

Egocentric interactive world models are essential for augmented reality and embodied AI, where visual generation must respond to user input with low latency, geometric consistency,…