---
title: "Unique Viewpoint | Foundation Models & GenAI as Breakthrough Force in Vision"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-05-09T16:00:00+08:00"
canonical: "https://ffcap.cn/en/research/20240509a05w6v00"
source: "https://ffcap.cn/en/research/20240509a05w6v00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20240509A05W6V00"
---

# Unique Viewpoint | Foundation Models & GenAI as Breakthrough Force in Vision

_Unique Research · Interview / Roundtable · May 9, 2024_

From Unique Capital’s Jan 24, 2024 Shanghai AIGC summit (~1,000 attendees).

## Panel

-   **Zhu Jiang** — Founder & CEO, Jingying Tech (井英)
-   **Gao Yizhao** — CEO, Zhizi Engine (智子引擎)
-   **Zhang Feibiao** — Co-founder & CTO, Wujie AI (无界)
-   **Cao Renyi** — Co-founder & Product Director, LibAI
-   **Cheng Weizhong (David)** — Founder & CEO, Zhongke Shenzhi (中科深智)

## 2D video vs 3D path

**Cheng:** Contested. Many dismiss Yann LeCun as “outdated,” but his point stands: next-token / next-pixel prediction may miss that video is about **representation space** relations, not only pixel adjacency — world expressed via language, graphics, math, etc.

**Zhang (Wujie):** Agrees 3D+video stay important; today image is more mature for product control. Train industry models on design assets (e.g. fashion) with rich tags; enterprise data/standards → custom enterprise model. Case: Wanshili scarf LLM — designers + customers personalize patterns via flexible production.

**Wujie stack:** Multimodal platform (image primary; also video/3D/text); C-end app + Pro workflow mode; one-stop product/model/compute AIGC.

## Why video (Jingying); multimodal (Zhizi)

**Zhu:** Scenario-first (TouchPal input / 10M DAU novel app background). GPT-3 showed GenAI content platforms — 2 years on video; v1 transformer ad gen → v2 diffusion short video. Still hard, but industry leapt in 6 months; expects major jump in ~1 year.

**Gao:** Building multimodal since 2020 (pre-CLIP/SD); vision–text alignment then SD/SVD-class video. Language needs near-perfect fluency; vision more forgiving → image gen feels “ahead.” Still needs transformer-class breakthrough for vision foundations. 3D/video add space/time → harder before image is mastered; new 3D/video startups still valuable atop academic base work.

**Cheng:** 3D often about motion/expression micro-problems; separate character model vs motion; future 2D character video may be driven by 3D motion/expression data.

## Open source / build vs buy; commercialization

**Cao (LibAI):** 3D for precise control customers want; multimodal interaction (LLM metaphor understanding vs SD). Balance frontier R&D vs near-term commercial quality.

**Zhu:** Commercialization follows core product, not a universal open/closed dogma — own video models for short drama quality; buy mature TTS; stay open to third parties that strengthen the moat.

_Further Q&A in CN on video monetization stage, LibAI global traffic #17 vs Wujie revenue, Zhongke Shenzhi commercial stage, tech vs product vs service, gen vs shoot share, creativity need, 2024 vision tech to watch, AI-native vs Big Tech — preserve full fidelity on ingest; EN keeps core technical/commercial lines above._

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Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20240509a05w6v00
On-site reading page: https://ffcap.cn/en/research/20240509a05w6v00