Tahira Kazimi

39 posts

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Tahira Kazimi

Tahira Kazimi

@TKazimi415

PhD student at @virginia_tech Avid reader

Blacksburg, VA Katılım Mart 2024
259 Takip Edilen86 Takipçiler
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Tahira Kazimi
Tahira Kazimi@TKazimi415·
Diverse Video Generation with DPP-Guided Policy Optimization is accepted to #CVPR2026 ✨ We tackle diversity in T2V models by formulating diversity as a set-level optimization problem. Huge thanks to my advisor @PINguAR and my collaborator Connor Dunlop
Tahira Kazimi@TKazimi415

✨We introduce Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization: a framework for diverse video generation that combines Determinantal Point Processes and GRPO theories to enforce explicit reward on diverse generations.

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Pinar Yanardag
Pinar Yanardag@PINguAR·
Proud to share: GEMLAB has 3 main-track and 1 Findings accepted to #CVPR2026! More details soon. Huge congrats to my amazing students & collaborators. See you in Denver! P.S. GEMLAB is keeping the tradition alive 3 years in a row with 3 papers at every CVPR 🚀 gemlab-vt.github.io
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Pinar Yanardag
Pinar Yanardag@PINguAR·
So grateful for the incredible students and alumni of GEMLAB! Together, we published 4 main conference papers + 4 workshop papers at @NeurIPSConf. You’re all absolute gems 💎
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Tahira Kazimi
Tahira Kazimi@TKazimi415·
Our method improves video diversity on Wan2.1 and CogVideo, enhancing motion, temporal variation, and scene diversit, while keeping CLIP fidelity stable. It also raises video-quality scores, showing DPP-GRPO boosts diversity without sacrificing alignment.
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Tahira Kazimi
Tahira Kazimi@TKazimi415·
✨We introduce Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization: a framework for diverse video generation that combines Determinantal Point Processes and GRPO theories to enforce explicit reward on diverse generations.
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Tuna Meral
Tuna Meral@tunahansalih·
This dog + its favorite toy = one perfect image. That’s the test. Can your #GenAI model combine two unique subjects without errors? Show us.
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Tahira Kazimi
Tahira Kazimi@TKazimi415·
Our Audit & Repair framework achieves best-in-class consistency in story visualization: CLIP-I ↑ 0.850, DINO ↑ 0.568, LPIPS ↓ 0.472, HPS ↑ 0.319, TIFA ↑ 0.71, outperforming StoryDiffusion, StoryGen, ConsiStory & others across all major metrics.
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Tahira Kazimi
Tahira Kazimi@TKazimi415·
We introduce Audit & Repair, a collaborative multi-agent framework that autonomously identifies, corrects, and refines inconsistencies across multi-panel story visualizations. This is a joint work with @akdemir_kiymet, supervised by @PINguAR
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Pinar Yanardag
Pinar Yanardag@PINguAR·
GEM Lab 💎 will be at #CVPR, presenting 3 papers! Drop me a DM if you’d like to meet! We will be presenting Fluxspace (Poster #232), LoRACLR (Poster #242) and Explaining in Diffusion (Poster #397), Session 3, ExHallD! Check out gemlab-vt.github.io for more details! @CVPR #CVPR2025
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Keşfet

@NeurIPSConf @PINguAR @akdemir_kiymet @CVPR @yusuf_dalva @ritika1729 @d_yesiltepe @elonmusk