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cs.CV2026

PhotoFlow: Agentic 3D Virtual Photography Missions

Jiarui Guo, Haojia Wei, Yiming Zhang +5

Virtual photography asks an agent to enter a prepared 3D scene with no preselected camera pose or reference image, infer a suitable shot from scene information and a language inten…

cs.CV2026

ScribbleEdit: Synthetic Data for Image Editing with Scribbles and Text

Anya Ji, George Ma, Téa Wright +4

Recent progress in generative models has significantly advanced image editing capabilities, yet precise and intuitive user control remains difficult. Specifically, users often stru…

cs.CV2026

ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning

Yiming Zhang, Jiacheng Chen, Jiaqi Tan +3

Current evaluations of spatial intelligence can be systematically invalid under modern vision-language model (VLM) settings. First, many benchmarks derive question-answer (QA) pair…

cs.CV2026

Video2LoRA: Unified Semantic-Controlled Video Generation via Per-Reference-Video LoRA

Zexi Wu, Baolu Li, Jing Dai +5

Achieving semantic alignment across diverse video generation conditions remains a significant challenge. Methods that rely on explicit structural guidance often enforce rigid spati…

cs.CV2025

VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning

Baolu Li, Yiming Zhang, Qinghe Wang +8

Visual effects (VFX) are crucial to the expressive power of digital media, yet their creation remains a major challenge for generative AI. Prevailing methods often rely on the one-…

cs.CV2025

VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior

Xindi Yang, Baolu Li, Yiming Zhang +8

Video diffusion models (VDMs) have advanced significantly in recent years, enabling the generation of highly realistic videos and drawing the attention of the community in their po…