collaborators

6 papers

cs.CV2026

TempAct: Advancing Temporal Plausibility in Autoregressive Video Generation via Planner-Executor RL

Jing Wang, Xiangxin Zhou, Jiajun Liang +5

Autoregressive (AR) video diffusion models enable low-latency streaming generation by synthesizing videos chunk by chunk with cached visual context, but this chunk-wise formulation…

cs.CV2026

HairOrbit: Multi-view Aware 3D Hair Modeling from Single Portraits

Leyang Jin, Yujian Zheng, Bingkui Tong +3

Reconstructing strand-level 3D hair from a single-view image is highly challenging, especially when preserving consistent and realistic attributes in unseen regions. Existing metho…

cs.CV2026

Steering Video Diffusion Transformers with Massive Activations

Xianhang Cheng, Yujian Zheng, Zhenyu Xie +2

In this work, we study the role of Massive Activations (MAs), which are rare, high-magnitude spikes confined to a few fixed hidden dimensions in video diffusion transformers (DiTs)…

cs.CV2026

AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation

Zhenyu Xie, Ji Xia, Michael Kampffmeyer +9

Controllable character animation has advanced rapidly in recent years, yet multi-character animation remains underexplored. As the number of characters grows, multi-character refer…

cs.CV2026

ERGO: Excess-Risk-Guided Optimization for High-Fidelity Monocular 3D Gaussian Splatting

Zehua Ma, Hanhui Li, Zhenyu Xie +4

Generating 3D content from a single image remains a fundamentally challenging and ill-posed problem due to the inherent absence of geometric and textural information in occluded re…

cs.CV2025

GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping

Jing Wang, Jiajun Liang, Jie Liu +10

Recently, GRPO-based reinforcement learning has shown remarkable progress in optimizing flow-matching models, effectively improving their alignment with task-specific rewards. With…