activity
20232026
most citedEmu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

30 citations · 43 across the 12 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation

Yuanhao Cai, Kunpeng Li, Menglin Jia +11

Recent advances in text-to-video (T2V) generation have achieved good visual quality, yet synthesizing videos that faithfully follow physical laws remains an open challenge. Existin…

cs.CV2025

Improving Chain-of-Thought Efficiency for Autoregressive Image Generation

Zeqi Gu, Markos Georgopoulos, Xiaoliang Dai +10

Autoregressive multimodal large language models have recently gained popularity for image generation, driven by advances in foundation models. To enhance alignment and detail, newe…

cs.CV2025

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models

Xu Ma, Peize Sun, Haoyu Ma +22

Autoregressive (AR) models, long dominant in language generation, are increasingly applied to image synthesis but are often considered less competitive than Diffusion-based models.…

cs.CV2025

Transfer between Modalities with MetaQueries

Xichen Pan, Satya Narayan Shukla, Aashu Singh +9

Unified multimodal models aim to integrate understanding (text output) and generation (pixel output), but aligning these different modalities within a single architecture often dem…

cs.CV2025

MoCha: Towards Movie-Grade Talking Character Synthesis

Cong Wei, Bo Sun, Haoyu Ma +10

Recent advancements in video generation have achieved impressive motion realism, yet they often overlook character-driven storytelling, a crucial task for automated film, animation…

cs.CV2025

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts

Feng Liang, Haoyu Ma, Zecheng He +10

Video personalization, which generates customized videos using reference images, has gained significant attention. However, prior methods typically focus on single-concept personal…